Code of Conduct

Game AI Events CIC is committed to providing accessible, productive, and enjoyable events for the game/AI community.

Please familiarise yourself with our Code of Conduct [link] prior to the event.  We have a zero tolerance policy towards harassment of any kind.

Call for Submissions is Closed

Our call for submissions is now closed. Thank you to everyone who has submitted. We received a significant number of high-quality submissions, and our organisational team has decided on our final programme.

Applicants will have received an email from our 'speakers@' email address with details.

Speakers

Dr Alessandro SestiniElectronic Arts - SEED

Alessandro Sestini is a research engineer at SEED - Electronic Arts. SEED is a R&D lab within Electronic Arts - a pioneering group combining creativity with applied research. Alessandro obtained his PhD with honorable mention in Smart Computing and Computer Engineering, at Università degli Studi di Firenze, Florence under the supervision of prof Andrew Bagdanov (ex Westwood Studios); Alessandro is currently working on how to apply Deep Reinforcement Learning, Inverse Reinforcement Learning, Imitation Learning and Large Language Models for video game production, helping video game industry in the use of machine learning. His goal is to train/develop intelligent agents for game AI and playtesting.

Alessandro contributed to the game AI landscape publishing several academic papers and giving several talks about the intersection between machine learning and video game development, helping researchers and practitioners in adopting such technology. He is the solo developer of DeepCrawl, a turn-based roguelike game for mobile devices where the NPCs are controlled by machine learning. Alessandro obtained his master degree with honorable mention in computer engineering working on using Machine Learning for the development of AI in roguelike games.

Dr Alessandro SestiniElectronic Arts - SEED

Alessandro Sestini is a research engineer at SEED - Electronic Arts. SEED is a R&D lab within Electronic Arts - a pioneering group combining creativity with applied research. Alessandro obtained his PhD with honorable mention in Smart Computing and Computer Engineering, at Università degli Studi di Firenze, Florence under the supervision of prof Andrew Bagdanov (ex Westwood Studios); Alessandro is currently working on how to apply Deep Reinforcement Learning, Inverse Reinforcement Learning, Imitation Learning and Large Language Models for video game production, helping video game industry in the use of machine learning. His goal is to train/develop intelligent agents for game AI and playtesting.

Alessandro contributed to the game AI landscape publishing several academic papers and giving several talks about the intersection between machine learning and video game development, helping researchers and practitioners in adopting such technology. He is the solo developer of DeepCrawl, a turn-based roguelike game for mobile devices where the NPCs are controlled by machine learning. Alessandro obtained his master degree with honorable mention in computer engineering working on using Machine Learning for the development of AI in roguelike games.

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Anna Poulter-JonesSheridans

Anna is a games lawyer at Sheridans, advising national and international games developers, publishers, digital media agencies and other games companies on a broad range of matters in connection with the development, publishing and IP protection of games (both video games and tabletop). She has also featured in industry publications such as Gamesindustry.biz and EDGE and has a strong reputation for providing thought leadership and advice in connection with AI and IP law. She is also a Trustee of the BGI, the charity behind the National Videogame Museum, on the Advisory Board of Game Anglia.

Anna Poulter-JonesSheridans

Anna is a games lawyer at Sheridans, advising national and international games developers, publishers, digital media agencies and other games companies on a broad range of matters in connection with the development, publishing and IP protection of games (both video games and tabletop). She has also featured in industry publications such as Gamesindustry.biz and EDGE and has a strong reputation for providing thought leadership and advice in connection with AI and IP law. She is also a Trustee of the BGI, the charity behind the National Videogame Museum, on the Advisory Board of Game Anglia.

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Andrei MuratovAmazon Web Services (AWS)

Andrei started in the games industry in 2004 as 3D artist, then worked as a designer and producer through the rise of mobile (J2ME, then smartphone) and game analytics and monetization leader through the rise of free-to-play at Ludia and WB Games. His industry career is book-ended by AI, initially as academic focus at McGill University, and for the last 2 years developing solutions and consulting customers for analytics and AI for games at AWS.

Andrei MuratovAmazon Web Services (AWS)

Andrei started in the games industry in 2004 as 3D artist, then worked as a designer and producer through the rise of mobile (J2ME, then smartphone) and game analytics and monetization leader through the rise of free-to-play at Ludia and WB Games. His industry career is book-ended by AI, initially as academic focus at McGill University, and for the last 2 years developing solutions and consulting customers for analytics and AI for games at AWS.

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Arya SubramanyamAmazon Web Services (AWS)

Arya is a Solutions Architect at Amazon Web Services (AWS) based in Toronto, Canada. She serves as a technical advisor to Enterprise customers, guiding them in leveraging cloud solutions to address business challenges. With a passion for Generative AI, Arya specializes in prompt engineering and AI agents. She has helped multiple customers in exploring and implementing AI/ML technologies to drive innovation and optimize processes. Arya enjoys contributing her insights through published blogs and speaking engagements at tech events.

Arya SubramanyamAmazon Web Services (AWS)

Arya is a Solutions Architect at Amazon Web Services (AWS) based in Toronto, Canada. She serves as a technical advisor to Enterprise customers, guiding them in leveraging cloud solutions to address business challenges. With a passion for Generative AI, Arya specializes in prompt engineering and AI agents. She has helped multiple customers in exploring and implementing AI/ML technologies to drive innovation and optimize processes. Arya enjoys contributing her insights through published blogs and speaking engagements at tech events.

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Brendan MulcahyEpic Games

Brendan Mulcahy is a Lead Research Engineer at Epic Games and the co-creator of Learning Agents, which is a UE plugin for reinforcement and imitation learning. His dream is that games will be able to have AI characters that have human-like gameplay and decision making.

Brendan MulcahyEpic Games

Brendan Mulcahy is a Lead Research Engineer at Epic Games and the co-creator of Learning Agents, which is a UE plugin for reinforcement and imitation learning. His dream is that games will be able to have AI characters that have human-like gameplay and decision making.

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Dr Christoph SalgeUniversity of Hertfordshire

Dr Christoph Salge is a Reader in Artificial Intelligence in Games at the University of Hertfordshire. His research interests span topics such as games, artificial intelligence, intrinsic motivation, procedural content generation, robotics and artificial life - focused on the big question of how we will design a future human-AI society. He is an avid gamer of computer-, board- and roleplaying games, and the main organizer of the AI Settlement Generation Challenge in Minecraft.

Dr Christoph SalgeUniversity of Hertfordshire

Dr Christoph Salge is a Reader in Artificial Intelligence in Games at the University of Hertfordshire. His research interests span topics such as games, artificial intelligence, intrinsic motivation, procedural content generation, robotics and artificial life - focused on the big question of how we will design a future human-AI society. He is an avid gamer of computer-, board- and roleplaying games, and the main organizer of the AI Settlement Generation Challenge in Minecraft.

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Dr Chris J WallaceHidden Door

Chris J Wallace is a software engineer who likes making nice things for people. He is court jester and frequent mischief maker at Hidden Door, where he only incidentally writes code. Prior to this, he has a decade of experience doing machine learning things in technology companies, and a PhD in quantifying the extent to which some theoretical particles don’t exist.

Dr Chris J WallaceHidden Door

Chris J Wallace is a software engineer who likes making nice things for people. He is court jester and frequent mischief maker at Hidden Door, where he only incidentally writes code. Prior to this, he has a decade of experience doing machine learning things in technology companies, and a PhD in quantifying the extent to which some theoretical particles don’t exist.

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David SpeckGuerrilla

David joined Guerrilla in 2020 as an AI programmer and got to work on Horizon Forbidden West and the DLC Burning Shores. Prior to that, he graduated from an AI masters degree from the University of Amsterdam. David has prior work experience in mobile game development as an programmer with the bulk of that time at the studio Wooga in Berlin. Plus in Berlin he had some experience teaching game development students at the School4Games.

David SpeckGuerrilla

David joined Guerrilla in 2020 as an AI programmer and got to work on Horizon Forbidden West and the DLC Burning Shores. Prior to that, he graduated from an AI masters degree from the University of Amsterdam. David has prior work experience in mobile game development as an programmer with the bulk of that time at the studio Wooga in Berlin. Plus in Berlin he had some experience teaching game development students at the School4Games.

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Dr Diego Perez LiebanaTabletop R&D

Dr. Diego Perez-Liebana (he/him/his) is the co-founder and director of Tabletop R&D, and currently a Senior Lecturer in Computer Games and Artificial Intelligence at Queen Mary University of London (UK). He holds a Ph.D in Computer Science from the University of Essex (2015). His research is centered in the application of Artificial Intelligence to games, Tree Search and Evolutionary Computation, and he’s especially interested in the application of Statistical Forward Planning methods to modern games, in particular to modern Tabletop Board Games. He is author of more than 100 papers in the field of Game AI and has experience in the games industry as a game programmer and AI tool developer.

Dr Diego Perez LiebanaTabletop R&D

Dr. Diego Perez-Liebana (he/him/his) is the co-founder and director of Tabletop R&D, and currently a Senior Lecturer in Computer Games and Artificial Intelligence at Queen Mary University of London (UK). He holds a Ph.D in Computer Science from the University of Essex (2015). His research is centered in the application of Artificial Intelligence to games, Tree Search and Evolutionary Computation, and he’s especially interested in the application of Statistical Forward Planning methods to modern games, in particular to modern Tabletop Board Games. He is author of more than 100 papers in the field of Game AI and has experience in the games industry as a game programmer and AI tool developer.

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Dr Eric JacopinHawkswell
Dr Eric JacopinHawkswell
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Jaden TravnikSony AI

After completing a masters in computing science at in the Bionic Limbs for Improved Natural Control (BLINC) Lab at University of Alberta, Jaden went on to lead a research team at Eidos-Montreal applying Reinforcement Learning (RL) to functional game testing, developing several internal and open source tools. Jaden then went on to work as an AI Engineer at Sony AI, contributing to the training and game integration of Gran Turismo Sophy on PS5.

Jaden TravnikSony AI

After completing a masters in computing science at in the Bionic Limbs for Improved Natural Control (BLINC) Lab at University of Alberta, Jaden went on to lead a research team at Eidos-Montreal applying Reinforcement Learning (RL) to functional game testing, developing several internal and open source tools. Jaden then went on to work as an AI Engineer at Sony AI, contributing to the training and game integration of Gran Turismo Sophy on PS5.

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Joar JakobssonVideocult

Joar is the lead dev behind Rain World. with interests in animation, AI and procedural systems.

Joar JakobssonVideocult

Joar is the lead dev behind Rain World. with interests in animation, AI and procedural systems.

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Laurent CouvidouBuild a Rocket Boy

Laurent has been making games for 17 years, that means he's nearly an adult developer now. His contributions include work with Ubisoft (Rayman Origins) and Arkane (Dishonored 2, Deathloop). Today he's working on top secrets projects with Build A Rocket Boy. He has long forgotten the definition of "spare time" since he's been the father of 2 marvelous kids.

Laurent CouvidouBuild a Rocket Boy

Laurent has been making games for 17 years, that means he's nearly an adult developer now. His contributions include work with Ubisoft (Rayman Origins) and Arkane (Dishonored 2, Deathloop). Today he's working on top secrets projects with Build A Rocket Boy. He has long forgotten the definition of "spare time" since he's been the father of 2 marvelous kids.

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Luca BalloreElectronic Arts - DICE

Luca Ballore is a Software Engineer at DICE – Electronic Arts, bringing nearly 15 years of tech industry experience. He has an extensive background in the advertisement sector, where he focused on the application of machine learning and contributed to the development of a platform for contextual advertising. Since joining Electronic Arts, Luca has been involved in the Quality Verification (QV) space, with an emphasis on critical events, autoplayers, test automation, and workflow automation. He also serves as the lead for AI-driven projects in the QV space for the Battlefield franchise.

Luca BalloreElectronic Arts - DICE

Luca Ballore is a Software Engineer at DICE – Electronic Arts, bringing nearly 15 years of tech industry experience. He has an extensive background in the advertisement sector, where he focused on the application of machine learning and contributed to the development of a platform for contextual advertising. Since joining Electronic Arts, Luca has been involved in the Quality Verification (QV) space, with an emphasis on critical events, autoplayers, test automation, and workflow automation. He also serves as the lead for AI-driven projects in the QV space for the Battlefield franchise.

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Martina JohannessonUnity Technologies

With a background in innovation, entrepreneurship, and product management, Martina is a leader in the practical application of AI. Equipped with a master’s in digital business, she possesses expertise in AI, cybersecurity, and legislation. Currently working as a senior technical product manager for AI at Unity, Martina propels cutting-edge advancements that also align with her values of fostering creativity, diversity, equity, and inclusion. In addition to her work at Unity, Martina is passionate about social impact and uses her skills and network to help address societal issues.

Martina JohannessonUnity Technologies

With a background in innovation, entrepreneurship, and product management, Martina is a leader in the practical application of AI. Equipped with a master’s in digital business, she possesses expertise in AI, cybersecurity, and legislation. Currently working as a senior technical product manager for AI at Unity, Martina propels cutting-edge advancements that also align with her values of fostering creativity, diversity, equity, and inclusion. In addition to her work at Unity, Martina is passionate about social impact and uses her skills and network to help address societal issues.

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Monica Villanueva AylagasElectronic Arts - SEED

Mónica Villanueva Aylagas is a Research Engineer at SEED, an applied research and innovation group within Electronic Arts. Working in the intersection of cutting-edge technology and art, Monica's focus and interest is in generative models and how they can help creative people unlock their potential.

With 6 years of experience in the gaming industry, Mónica has been instrumental in the development and adoption of ML driven technologies such as Voice2Face, Exflowsions and Avalon.

Mónica holds a Bachelor’s degree in Computer Science Engineering from the Autonomous University of Madrid and a Master’s degree in Machine Learning from KTH in Stockholm.

Monica Villanueva AylagasElectronic Arts - SEED

Mónica Villanueva Aylagas is a Research Engineer at SEED, an applied research and innovation group within Electronic Arts. Working in the intersection of cutting-edge technology and art, Monica's focus and interest is in generative models and how they can help creative people unlock their potential.

With 6 years of experience in the gaming industry, Mónica has been instrumental in the development and adoption of ML driven technologies such as Voice2Face, Exflowsions and Avalon.

Mónica holds a Bachelor’s degree in Computer Science Engineering from the Autonomous University of Madrid and a Master’s degree in Machine Learning from KTH in Stockholm.

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Quentin TheillaudUnity Technologies

Quentin is a Senior Manager of Machine Learning at Unity, currently leading the Muse LLM engineering teams. With over 7 years of experience in applying advanced AI and Machine Learning techniques in the video game industry, Quentin has a proven track record in AI architectures, large-scale deep learning, and the development of AI-driven solutions. At Unity, Quentin has been instrumental in enhancing the Unity Editor through Muse, an AI product designed to assist game developers in their creative processes. Previously, Quentin led AI initiatives at Unity Ads and Gameloft, focusing on user acquisition and Ad-tech innovations.

Quentin TheillaudUnity Technologies

Quentin is a Senior Manager of Machine Learning at Unity, currently leading the Muse LLM engineering teams. With over 7 years of experience in applying advanced AI and Machine Learning techniques in the video game industry, Quentin has a proven track record in AI architectures, large-scale deep learning, and the development of AI-driven solutions. At Unity, Quentin has been instrumental in enhancing the Unity Editor through Muse, an AI product designed to assist game developers in their creative processes. Previously, Quentin led AI initiatives at Unity Ads and Gameloft, focusing on user acquisition and Ad-tech innovations.

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Rafal TylQED Games

Grail Team Leader at QED Games. 9+ years of experience in gamedev, mainly as an AI programmer and lead AI programmer, with an interim adventure of serving as CEO of QED Games. Responsible for AI in multiple projects, ranging from simulation games to real time strategies. Co-creator of Grail - a multiplatform SDK for embedding advanced AI in games.

Rafal TylQED Games

Grail Team Leader at QED Games. 9+ years of experience in gamedev, mainly as an AI programmer and lead AI programmer, with an interim adventure of serving as CEO of QED Games. Responsible for AI in multiple projects, ranging from simulation games to real time strategies. Co-creator of Grail - a multiplatform SDK for embedding advanced AI in games.

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Rachel DongRiot Games

Rachel is an ML Researcher at Riot Games who is passionate in AI and its applications in games, including generative AI, reinforcement learning, computer vision and more.

Rachel DongRiot Games

Rachel is an ML Researcher at Riot Games who is passionate in AI and its applications in games, including generative AI, reinforcement learning, computer vision and more.

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Dr Raluca GainaTabletop R&D

Dr. Raluca D. Gaina (she/her/hers) is the co-founder and director of Tabletop R&D, and is currently a Lecturer in Game AI at Queen Mary University of London, where she obtained her Ph.D. in Intelligent Games and Games Intelligence. She has led innovative research in Simulation-Based decision-making and modern Tabletop Games, laying the foundation for the Tabletop Games Framework (TAG). She has co-organised top Game AI conferences, meetups, tutorials and competitions. She has over 30 publications in leading Game AI conferences (AAAI, COG) and journals (TOG), and received multiple awards for her public engagement videos. Her research interests include general video game playing AI, evolutionary algorithms and tabletop games.

Dr Raluca GainaTabletop R&D

Dr. Raluca D. Gaina (she/her/hers) is the co-founder and director of Tabletop R&D, and is currently a Lecturer in Game AI at Queen Mary University of London, where she obtained her Ph.D. in Intelligent Games and Games Intelligence. She has led innovative research in Simulation-Based decision-making and modern Tabletop Games, laying the foundation for the Tabletop Games Framework (TAG). She has co-organised top Game AI conferences, meetups, tutorials and competitions. She has over 30 publications in leading Game AI conferences (AAAI, COG) and journals (TOG), and received multiple awards for her public engagement videos. Her research interests include general video game playing AI, evolutionary algorithms and tabletop games.

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Roberto Lopez MendezArm

Roberto Lopez Mendez is a Director at Arm. He studied Nuclear Physics but after a decade working in Physics, he discovered his real passion and since 1995 worked in 3D graphics for several companies. In 2012, Roberto joined Arm Demo Team and worked on developing highly optimized rendering techniques for mobile devices. He also regularly delivered workshops at different universities and talks at game development related events. Since 2020 Roberto tech-leads Arm Developer Advocacy Team working on showcasing developers how to make the most of different Arm technologies.

Roberto Lopez MendezArm

Roberto Lopez Mendez is a Director at Arm. He studied Nuclear Physics but after a decade working in Physics, he discovered his real passion and since 1995 worked in 3D graphics for several companies. In 2012, Roberto joined Arm Demo Team and worked on developing highly optimized rendering techniques for mobile devices. He also regularly delivered workshops at different universities and talks at game development related events. Since 2020 Roberto tech-leads Arm Developer Advocacy Team working on showcasing developers how to make the most of different Arm technologies.

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Rupam DavéHarbottle & Lewis LLP

Rupam is a lawyer and partner at London media law firm Harbottle & Lewis.

He specialises in advising on the commercial relationships and key technologies that underpin the games industry. This includes advising on emerging tech like AI, cloud solutions, data monetisation, adtech, software licensing, outsourcing and consumer law.

Rupam DavéHarbottle & Lewis LLP

Rupam is a lawyer and partner at London media law firm Harbottle & Lewis.

He specialises in advising on the commercial relationships and key technologies that underpin the games industry. This includes advising on emerging tech like AI, cloud solutions, data monetisation, adtech, software licensing, outsourcing and consumer law.

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Dr Sam DevlinMicrosoft Research

Sam Devlin is a Principal Researcher in the Game Intelligence group at Microsoft Research. He received his PhD on multi-agent reinforcement learning in 2013 from the University of York; was a postdoc from 2013 to 2015, working on game analytics; and then was on the faculty from 2016 until joining Microsoft in 2018. Devlin has published more than 60 papers on reinforcement learning, imitation learning and game AI in leading academic venues and presents regularly at games industry events including Develop and the Game Developers Conference (GDC).

Dr Sam DevlinMicrosoft Research

Sam Devlin is a Principal Researcher in the Game Intelligence group at Microsoft Research. He received his PhD on multi-agent reinforcement learning in 2013 from the University of York; was a postdoc from 2013 to 2015, working on game analytics; and then was on the faculty from 2016 until joining Microsoft in 2018. Devlin has published more than 60 papers on reinforcement learning, imitation learning and game AI in leading academic venues and presents regularly at games industry events including Develop and the Game Developers Conference (GDC).

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Tim Johan VerweijGuerrilla

Tim studied Artificial Intelligence at VU Amsterdam. He joined Guerrilla in 2006 after completing his MSc thesis project on Killzone’s multiplayer bot AI. Since then he has worked on AI behaviors as well as AI engine tech for the Killzone series, Horizon Zero Dawn and Horizon Forbidden West. He specializes in group behaviors and HTN planner technology.

Tim Johan VerweijGuerrilla

Tim studied Artificial Intelligence at VU Amsterdam. He joined Guerrilla in 2006 after completing his MSc thesis project on Killzone’s multiplayer bot AI. Since then he has worked on AI behaviors as well as AI engine tech for the Killzone series, Horizon Zero Dawn and Horizon Forbidden West. He specializes in group behaviors and HTN planner technology.

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Vladislav IantsevichSaber Interactive

Game AI developer with over five years of experience in making action game AI characters and systems. Brought the world gruesome power-through combat of the Space Marine 2

Vladislav IantsevichSaber Interactive

Game AI developer with over five years of experience in making action game AI characters and systems. Brought the world gruesome power-through combat of the Space Marine 2

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William Smith ChambersOxide Games

Will is the AI Lead for Ara: History Untold, a 4X grand strategy game from Oxide Games, and a PhD student at the University of Maryland, studying applied machine learning for digital content creation. He has a passion for making new things, especially in the realm of creative tools. The intersection of challenging technical problems and art is endlessly fascinating, and feels lucky every day to get to work in it! Beyond work, he enjoys spending time with their lovely partner, travel, running, and World of Warcraft (Blood and Thunder)

William Smith ChambersOxide Games

Will is the AI Lead for Ara: History Untold, a 4X grand strategy game from Oxide Games, and a PhD student at the University of Maryland, studying applied machine learning for digital content creation. He has a passion for making new things, especially in the realm of creative tools. The intersection of challenging technical problems and art is endlessly fascinating, and feels lucky every day to get to work in it! Beyond work, he enjoys spending time with their lovely partner, travel, running, and World of Warcraft (Blood and Thunder)

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Yassine TahiKinetix

Yassine is the co-founder and CEO of Kinetix. Kinetix enables avatar self-expression in 3D virtual worlds & social platforms through a technology that covers the entire lifecycle from emote creation, to distribution, monetization & sharing.

Yassine TahiKinetix

Yassine is the co-founder and CEO of Kinetix. Kinetix enables avatar self-expression in 3D virtual worlds & social platforms through a technology that covers the entire lifecycle from emote creation, to distribution, monetization & sharing.

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Conference Organisers

Alan ZucconiGoldsmiths, University of London

Alan Zucconi is a Senior Lecturer, author and a passionate developer focused on the field of education. As a Science Communicator he is investigating the impact that AI has on society, from deepfakes to algorithmic bias. He currently works at Goldsmiths, University of London as Director of Postgraduate Studies, where he also directs the MA/MSc Computer Games programmes.

Alan ZucconiGoldsmiths, University of London

Alan Zucconi is a Senior Lecturer, author and a passionate developer focused on the field of education. As a Science Communicator he is investigating the impact that AI has on society, from deepfakes to algorithmic bias. He currently works at Goldsmiths, University of London as Director of Postgraduate Studies, where he also directs the MA/MSc Computer Games programmes.

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Duygu ÇakmakCreative Assembly

Duygu Cakmak is the R&D Director at Creative Assembly for the BAFTA award-winning Total War series. She oversees the R&D strategy and direction for the franchise. She joined Creative Assembly in 2015 as an AI programmer and after this, she moved into a Project Technical Director role.

Duygu ÇakmakCreative Assembly

Duygu Cakmak is the R&D Director at Creative Assembly for the BAFTA award-winning Total War series. She oversees the R&D strategy and direction for the franchise. She joined Creative Assembly in 2015 as an AI programmer and after this, she moved into a Project Technical Director role.

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Dr Gabriel RobertUbisoft

Gabriel Robert has been working as a Game AI Developer since 1999 on many franchises, including Top Spin, Ghost Recon, and Assassin's Creed.
Since earning his PhD in 2005, his goal has been to bridge the gap between academic research and production, a pursuit he now fulfills as a lead R&D Developer.
As a strong believer in knowledge sharing as a foundation for innovation, Gabriel naturally chose to join the AI and Games Conference team.

Dr Gabriel RobertUbisoft

Gabriel Robert has been working as a Game AI Developer since 1999 on many franchises, including Top Spin, Ghost Recon, and Assassin's Creed.
Since earning his PhD in 2005, his goal has been to bridge the gap between academic research and production, a pursuit he now fulfills as a lead R&D Developer.
As a strong believer in knowledge sharing as a foundation for innovation, Gabriel naturally chose to join the AI and Games Conference team.

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George E. OsbornHalf-Space Consulting

George is the creator of Video Games Industry Memo and founder of Half-Space Consulting: a strategic consultancy that supports businesses as they seek to work within the video games industry.

George E. OsbornHalf-Space Consulting

George is the creator of Video Games Industry Memo and founder of Half-Space Consulting: a strategic consultancy that supports businesses as they seek to work within the video games industry.

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Matthias SiemonsmeierSplash Damage

Matthias is the head of AI at Splash Damage, and has worked as a programmer on titles including 'Sacred 3', 'Portal Knights', and was the AI lead on 'Gears Tactics'.

Matthias SiemonsmeierSplash Damage

Matthias is the head of AI at Splash Damage, and has worked as a programmer on titles including 'Sacred 3', 'Portal Knights', and was the AI lead on 'Gears Tactics'.

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Sally KevanTVG Events

Sally joins the team with decades of experience in event planning and logistics. She has run large-scale international events over five continents. She’s calm in a crisis, always patiently waiting for the drama to show its face so that she can pull on her experience and come up with a solution, fast.

Sally KevanTVG Events

Sally joins the team with decades of experience in event planning and logistics. She has run large-scale international events over five continents. She’s calm in a crisis, always patiently waiting for the drama to show its face so that she can pull on her experience and come up with a solution, fast.

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Dr Tommy ThompsonAI and Games

The voice of AI and Games.

Tommy consults with games studios and tech companies around the world on how to utilise AI in their projects: providing development support, consultancy, and professional training services on artificial intelligence in the video games.

With 20 years experience in AI for video games, Tommy has become a trusted voice in the game AI community as he acts as a public speaker, science communicator, and industry advocate. His successful YouTube series 'AI and Games', has accrued millions of views since it began in 2014.

Dr Tommy ThompsonAI and Games

The voice of AI and Games.

Tommy consults with games studios and tech companies around the world on how to utilise AI in their projects: providing development support, consultancy, and professional training services on artificial intelligence in the video games.

With 20 years experience in AI for video games, Tommy has become a trusted voice in the game AI community as he acts as a public speaker, science communicator, and industry advocate. His successful YouTube series 'AI and Games', has accrued millions of views since it began in 2014.

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Tickets Sold Out

Tickets are sold out for our event.  However, our talks will be recorded and made available in 2025.  More details to be announced at a later date.

Schedule

Our full day of talks is provided below. Please note the schedule is subject to change.

  • Thursday 7th November
  • Friday 8th November
  • Speaker/Sponsor Reception
Speaker and Sponsor Reception

A drinks reception for our speakers and sponsors to network, test their talks in the venue, and grab their passes prior to the big event!

  • Room 1
  • Room 2
09:15 - 09:30Welcome to the AI and Games Conference By Tommy ThompsonAI and Games

A few words from our organisational team as we welcome you to the inaugural AI and Games Conference.

Note: This will run in Room 1, with the presentation being streamed into Room 2 via a live feed.

09:35 - 10:20HTN Planning in the Decima Engine By Tim Johan VerweijGuerrilla

This talk is about Decima’s implementation of HTN. We will give a short history of our implementation and talk about how it integrates with the rest of our AI system. We compare it to behaviour trees and some other HTN implementations. We explain how our implementation performs backtracking (similar to Prolog) over preconditions and present a flow visualization which can help understand the backtracking flow, This talk will detail how that flow is realized in generated C++ and also touch on how we debug our HTN decompositions in-game.

Takeaways:

  • Attendees will learn how HTN with backtracking can be realized in (generated) C++ code.
  • Learn about a specific flow visualization (inspired by the “Byrd Box model” for Prolog) and how it can help understand backtracking flow.
  • Learn how an HTN decomposition can be logged and how these logs can be displayed.
10:25 - 10:50Avalon: Can we improve the validation of Match-3 Games Level Generation? By Monica Villanueva AylagasElectronic Arts SEED

Description: Avalon is a new method designed to enhance level generation by providing more control over the generation process, while ensuring the creation of more solvable levels. In particular, we generate layouts of match-3 levels where the level designers can select visual features like size and symmetry and gameplay statistics such as difficulty. We will describe how we designed the system, how it compares to other methods and the quantitative and qualitative analysis performed on it. We will finalize with a brief discussion about challenges and opportunities of level generators in production.

Takeaways:

  • How to create controllable (conditional) generators for match3 games
  • How to take advantage of that controllability to improve the validity of the levels
  • Challenges and opportunities of level generators in production
10:50 - 11:10Morning Break

Take 20 minutes to stretch your legs, grab a coffee and decide what talks to check out next!

11:10 - 11:55Narrative-Driven Generation: Story to Game World using Large Language Models By Rachel DongRiot Games

This talk delves into how language models transform story narratives into fully realized game worlds. Starting with a story, we generate an entire game world including detailed maps, locations, and objects that align with the narrative. Furthermore, the world is populated with dynamic characters that have evolving memories, relationships, and behaviors shaped by the narrative. This approach can potentially complement existing generation tools to leverage the strength of different techniques.

The talk will feature a Murder Mystery demo, demonstrating an end-to-end generation pipeline going from story to a playable game, resulting in a meaningful generated world that reflects the intricate relationship between story, environment, and character evolution.

Takeaways:

  • Using LLMs for narrative-driven generation for game development
  • Combine LLMs with game mechanics to drive dynamic NPC behaviors
  • Use cases where LLMs are most effective as a generation tool, along with practical tips and strategies
12:00 - 12:25Escaping the Infinite Mid By Chris J. WallaceHidden Door

We’ll explore the promise and challenges of using generative techniques to create new experiences in established worlds. Large language models are a fraught technology, including in their lack of regard for the boundaries of intellectual property. At Hidden Door, we’ve been combining them in constrained ways with procedural generation, templating, and “classical” natural language techniques to allow stories that feel meaningfully different every time, but which respect the world in which they occur.

We’ll speak to the kind of input that creative partners (authors, film producers, and other creators) want, and discuss the risks and pitfalls of generative technology (oh hi, bias) and how we mitigate those. We can also share how we’ve approached these challenges in our game, with examples like:

  • Using language models to choose which templated story beat happens next, instead of generating them from scratch.
  • Treating language as a unique affordance for player characters (my strong character is different than your strong character).
  • Creating lots of content using procgen and language models together, with a game designer’s curation.
  • When we take the reigns off and let worlds get weird (cybernetic mech skeleton in the Wizard of Oz?).
  • How to do this ethically, from a technology, data, and business perspective.

Takeaways:

  • A grounded perspective on the use of large language models: both boons and pitfalls.
  • Some approaches to mitigating bias when using those models.
  • Examples of non-LLM machine learning techniques and their use in generative stories.
12:30 - 13:15AI and Emergent systems – A Rain World Retrospective By Joar JakobssonVideocult

In Rain World, we used AI as an fundamental building block for our core game loop. The game is essentially about interacting with AI and AI agents interacting with each other. In this talk we give a breakdown of the systems employed and how this enabled for the design of Rain World to be achieved.

Takeaways:

  • Multiple AI agents interacting will be unpredictable
  • The level at which you comminicate what’s going on inside an AI agent is a delicate decision, with upsides and downsides to both extremes
  • Making AI and emergent behaviour the core feature of your game will almost definitely make it “interesting” rather than “smooth”

13:15 - 14:00Lunch Break
14:15 - 14:40Learning to Play, Imitate and Collaborate with Pesky Humans: Some Lessons from the AI’s Perspective By Sam DevlinMicrosoft Research

Machine learning for non-player character control is often unwieldy and takes a lot of time. In this talk we will share some reliable design patterns I have learnt researching and developing learning agents from collaborations on Age of Empires 4, Bleeding Edge, Minecraft and more.

Takeaways:

  • A method to stabilise reinforcement learning to reliably improve Non-Player Character (NPC) performance;
  • A simple way to make the NPC’s learnt behaviour more human-like;
  • How to combine both to make NPC’s collaborate with any human player.

14:45 - 15:10Human-level AI Bots in Soccer Kids by Acid Wizard By Rafal TylQED Games

Implementing AI for tactical games is challenging, especially when the AI opponent must make decisions akin to a human player and provide a challenge in a one-on-one match. And if you add geometric considerations like planning for movement of physical objects, you get a recipe for an AI programmer’s headache. However, with the right tools, nothing is impossible! This presentation showcases a case study on AI bots developed for the unique tactical sports game, Soccer Kids by Acid Wizard. It will be invaluable for AI programmers, particularly those interested in strategic and tactical genres.

Takeaways:

  • Post-mortem of a unique game.
  • Introduction to Monte Carlo Tree search.
  • Handling physical collisions and other geometric aspects in MCTS simulations.
  • Tips and tricks for spatial analysis used for determining possible unit movements in a continuous space and evaluating the overall tactical situation.
15:15 - 16:00Space Marine 2: AI Post-mortem By Vladislav IantsevichSaber Interactive

In this talk we explore the AI design philosophy for Space Marine 2, our various solutions that helped to achieve the desired vision and overcome obstacles. As well as a brief introduction of our AI framework implementation.

Takeaways:

  • Opportunistic and Reactive AI design and techniques
  • A way to approach Many vs Many combat scenarios
  • Moveset and behaviour design with Player Gameplay Graph approach
  • Why Behaviour Trees and Utility AI make a great mix
16:00 - 16:20Afternoon Break
16:20 - 17:05We’re cutting WHAT? Actually Shipping a brand-new AI System By William Smich ChambersOxide Games

Description: A continuation and recontextualization of my 2024 GDC AI Summit talk “How ‘Ara: History Untold’ Transformed AI in 4X Games”, I will summarize Ara: History Untold’s novel system, and dig into details around optimizing its performance, and usability in the final months leading up to ship.

Takeaways:

  • An introduction to semi-obscure but very useful AI topics (HGNs, Logical DSLs)
  • Insights into making performant data structures for complex game AI
  • Practical examples of how to make trades between effectiveness and complexity
17:10 - 17:55Building the AI Behaviors for Flying and Swimming Machines for Horizon Forbidden West By David SpeckGuerrilla

The talk gives an overview of components used to build the AI behavior of machines for Horizon Forbidden West. It follows the examples of the Waterwing from the Burning Shores DLC, a semi-aquatic flying machine that fights the player in any medium it encounters them in. The talk will cover topics such as in-air and underwater navigation and movement, and combat behaviors. Most other AI characters in the game share these components.

Takeaways:

  • Gain insight into what goes into building the AI behavior of the Waterwing. These parts generalize to the other machines built for Horizon Forbidden West.
  • Learn about the navigation and movement solutions used in Horizon Forbidden West in-air and underwater.
  • Learn about the AI components used to build challenging machines to fight against.

18:05 - 18:20Closing Remarks By Tommy ThompsonAI and Games

All good things must come to an end!

09:15 - 09:30Welcome to the AI and Games Conference By Tommy ThompsonAI and Games

A few words from our organisational team as we welcome you to the inaugural AI and Games Conference.

Note: This will run in Room 1, with the presentation being streamed into Room 2 via a live feed.

09:35 - 10:20Harnessing Multi-Agent Systems for Task Execution By Arya SubramanyamAmazon Web Services

Multi-agent systems expand the overall capabilities of generative AI applications. By enabling multiple generative AI agents to work together, performing separate tasks, and leveraging different tools, these systems automate the identification and execution of robust tasks. By distributing complex tasks among specialized agents, multi-agent systems address coordination and communication challenges when working with multiple models. Learn how AWS utilized open source tools and native AWS AI Services to build an “Idea to Game Code”, Multi-Agent System. You’ll see a demo of the system hosted on AWS and dive into how agents work, how they work together, and tips to get started building your own agents.

Takeaways:

  • An understanding of how generative AI agents work and how they can work together to form a multi-agent system.
  • Tips on how to get started building your own agents.
  • Considerations when building agentic systems.

10:25 - 10:50AI and the Law: What You Need to Know By Rupam DavéHarbottle & Lewis LLP

The talk will give a user-friendly overview of the key legal risks arising from the use of AI in videogames together with practical advice on how to mitigate these risks. We’ll cover issues like the state of the law at present (e.g. the UK’s approach vs the EU AI Act), how to avoid common legal traps when using AI (e.g. infringement) and how to protect your own IP.

Takeaways:

  • An understanding of the regulatory landscape when it comes to using AI in video games
  • How to protect a studio’s existing IP when using AI
  • How to safely use the outputs generated by AI
10:50 - 11:10Morning Break

Take 20 minutes to stretch your legs, grab a coffee and decide what talks to check out next!

11:10 - 11:35Navigating AI and IP: A Practical Toolkit for Devs By Anna Poulter-JonesSheridans

This talk will take you step by step through the key IP issues that can arise when using AI tools, how to navigate these issues and mitigate the potential risks. This talk will provide a toolkit to help you understand, in practical terms, how to approach use of these tools while still ensuring that your IP, your confidential information, your data and game remain protected.

Takeaways:

  • Gain a high level understanding of the key intellectual property issues that can arise in connection with use of AI tools (and specifically generative AI tools.
  • Understand which aspects of your business and of the game development process are most at risk when using AI tools.
  • Learn how to mitigate these risks and come away with a checklist of practical steps for protecting your IP when developing and releasing a game.

11:40 - 12:05Empowering Game Designers with Automatic Playtesting By Raluca Gaina & Diego PerezTabletop R&D

Description: The complexity of modern tabletop games has been steadily increasing since the mid-1990s. This results in an increase in time spent by designers developing (2-3 years on average from idea to commercialisation) and playtesting (6-24 months) a game, raising the barrier of entry to market for independent designers or small companies which do not have enough resources at their disposal. The effect is also felt by players, who find it harder to play such games due to the steep learning curve. This talk will explore how Tabletop R&D, a spin-out company from Queen Mary University of London, aims to address these issues and democratize the tabletop games market by providing game designers with automatic playtesting tools. Using the latest in Game AI technology and digital twins of tabletop games, we speed up development times, reduce costs and increase efficiency of an otherwise traditionally lengthy analogue process.

Takeaways:

  • How to use automatic play-testing with AI agents.
  • Learn about a diverse set of metrics to evaluate game-play experience.
  • The value of exploring the design space of your game.
12:10 - 12:35Learning Agents in Unreal Engine By Brendan MulcahyEpic Games

Learning Agents is an Unreal Engine plugin that enables you to train AI characters using machine learning (ML).

In this session, we’ll explore how the plugin can be used to augment or replace traditional game AIs such as those written with behavior trees or state machines.

In particular, the plugin enables you to use reinforcement (RL) and imitation learning (IL) approaches. Join to discover how Learning Agents could have a range of applications in the long term, including for physics-based animation, game-playing NPCs, and automated QA testing.

Takeaways:

  • How Learning Agents Works
  • How we applied Learning Agents to aiming in Fortnite
  • What sort of problems is Learning Agents useful to explore.
12:40 - 13:05AgentMerge: Enhancing Battlefield Automated Issue Management with LLMs By Alessandro Sestini and Luca BalloreElectronic Arts

Description: The Battlefield QV department manages an automated issue workflow that handles reports coming from diverse data sources and entities, such as error APIs, automation systems, etc. An important part of this workflow is the interaction with the issue tracking manager Jira, where tickets are created automatically using data retrieved from the reports. The process is not fully automated, as there are still parts that require the hardcoding of rules that may change over time or a manual intervention that can become time consuming when the volume of tickets reaches high peaks. The talk explores the potential of Large Language Models (LLMs) in automated issue management within the Battlefield franchise. It has the goal to address the identification of duplicate issues, replacing the inefficiency of the previous hardcoded rules. We will demonstrate how the same solution based on LLMs could also be reused in all the projects utilizing the same version of Frostbite (our engine). Furthermore, the talk discusses the challenges and best practices of integrating a research project into an established game development workflow, and how to overcome these challenges.

Takeaways:

  • How to leverage the potential of LLMs for specific use cases in game development, particularly in QA.
  • Insights into real-world QA improvements achieved through the use of LLMs compared to traditional approaches, along with the challenges in measuring these improvements.
  • An understanding of the challenges and opportunities associated with using machine learning in game production, and how to effectively combine research and development efforts.
13:15 - 14:00Lunch Break
14:15 - 14:40Unity Muse: Bring Your Ideas to Life Faster with in-Editor AI By Martina Johannesson and Quentin TheillaudUnity Technologies

Discover how you can develop faster with a little help from AI with Muse. Solve problems with Chat, get solutions tailored to your unique project settings, and automatically carry out tasks within the editor.

Takeaways:

  • Discover how we made Muse directly available in the editor and gave it contextual awareness.
  • Learn how you can leverage Muse to get tailored solutions and perform actions in your project.
  • Get a glimpse of Unity’s vision on how AI can assist Game development for faster creation with less friction.
14:45 - 15:10RL Agent Training is Property Based Testing By Jaden TravnikSony AI

Description: Training RL agents in games requires collecting lots of data from various game states and trajectories. As games grow in complexity, it is easy for some unintended functionality to affect the distribution of data that an RL agent would be trained on. This means an agent’s behaviour may be affected and ultimately be a signal that some property of the game does not match intentions. This matches the criteria for a property based test and is an inspiration for future game testing mechanisms.

Takeaways:

  • An intuition of property based testing.
  • A concrete example of how RL training helped identify a bug
  • An inspiration for how RL training can be more incorporated into property tests
15:15 - 16:00Panel: The Future of AI for Games By Andrei Muratov (AWS), Duygu Cakmak (Creative Assembly), Roberto Lopez Mendez (Arm), Yassine Tahi (Kinetix)

We discuss the current state of the industry, and how things will progress as AI technologies continue to evolve.

16:00 - 16:20Afternoon Break
16:20 - 17:05Tethering Agents for the Greater Good By Laurent CouvidouBuild a Rocket Boy

This talk will expose the secret practice of restraining AI agents to bounded areas of the game world. We’ll see why this is often a desired feature in terms of game design. We’ll also go over the possible implementation approaches, how they can be mixed, and their performance implications.

Takeaways:

  • Understanding of what NPC tethering is
  • Realization that it’s deeply dependent on game design
  • Some ideas on how to implement agent tethering into your own projects.
17:10 - 17:35The AI Settlement Generation Challenge in Minecraft By Christoph SalgeUniversity of Hertfordshire

Description: What are the challenges in writing an AI that can generate an interesting settlement adapted to an unseen Minecraft map? What AI techniques work well here? These are just some of the questions the GDMC AI settlement generation challenge set out to answer when it was founded 7 years ago. Adaptive and holistic procedural content generation in games still has many open challenges, and in this talk we will take a look at some selected ideas and AI techniques used to tackle those. I will show a range of colorful and amazing settlement generators, and discuss what worked and what did not. If you feel after the talk that you could do better, I have great news for you, we will be back in 2025 for round 8.

Takeaways:

  • Learning about the GDMC competition – a fun AI programming competition.
  • The use of AI competition to drive research and find out things.
  • A comparison of different AI approaches to the same problem.
  • A better understanding of the problems of adaptive PCG.
17:40 - 18:05Analytic Geometry Is Your Friend By Eric JacopinHawkswell

Computing the position of objects in a game is one of the most frequent features to be carried out: where to stop a movement (to avoid a collision)? Where to hide, protect or start a jump? Where do two zones intersect (which objects will be affected by the zone of effect of my action)?

The goal of this presentation is to suggest that solving the analytical geometry equations resulting from the various game situations is preferable to using the various environment projection queries provided by your favourite game engine: first write the equations to which the coordinates of the game objects must conform, then solve these equations to obtain the numerical values of these coordinates; and don’t forget to get help from a math software. These two steps will be illustrated in the case of projecting a grid onto a navigation surface for the Unreal Engine with the help of Mathematica.

Takeaways: This presentation is intended for AI game developers facing one of the three situations:

  • Too much computing resources are spent generating sample locations and then filtering them
    • Write and solve the equations modelling the geometric problem
  • Too many erroneous or approximate locations require post-processing to be usable
    • Compute values from exact solutions of your geometric problems
  • Bullet proofs tests of locations are needed
    • Compare locations with exact solutions of your geometric equations
18:05 - 18:20Closing Remarks By Tommy ThompsonAI and Games

All good things must come to an end!