Next wave is coming on November 30th!

Start time: 8:00 PM (CET), 2:00 PM (EST), 11:00 AM (PT).

The opening event has ended.
But don’t worry, you can watch the replay!
To watch the replay, please register

Register now

Are we humans better off with generative AI?

OXFORD-STYLE DEBATE

This question will be discussed by top industry leaders and AI experts in an Oxford-style debate, in the first part of the online opening event of Generative Revolution Day.
In this format, opposing teams present their arguments, and audience votes determine the winner.
The twist?
It’s your votes that decide the winning side!

The live voting during the premiere has now ended, but you can still watch the debate replay on our website and vote—or change your vote—if the speakers manage to convince you otherwise. Voting remains open for the next two weeks. So far, during the debate, the number of 'disagree' votes has risen by almost 10%.
Make your voice count!

Meet our 2024 speakers

Founder of Wikipedia and Chairman Emeritus of Wikimedia Foundation, Wales established a platform that transformed global access to online knowledge. 



His work in developing collaborative content creation systems has influenced how information is shared worldwide. Time magazine included him among the 100 most influential people, recognizing his role in developing open-access digital resources and democratizing knowledge sharing.

Jimmy Wales

Founder of Wikipedia Chairman Emeritus of Wikimedia Foundation

Co-founder and CEO of HeyGen since 2020, focusing on AI-powered visual storytelling and content generation. Former Software Engineer at Snapchat (2014-2020), where he pioneered monetization and ads ranking systems. Master's degree holder in Computer Science from Carnegie Mellon University, with published research in brain-computer interfaces. His work at HeyGen focuses on transforming content creation through computer vision and deep learning technologies.

Joshua Xu

Co-founder and CEO of HeyGen since 2020

Vice President of Engineering at Cisco, leading the Engineering Sustainability Office where she oversees sustainable engineering practices across Cisco's portfolio.

With 19 years of experience in strategy and technology, she previously served as VP of Product Marketing and Senior Director of Enterprise Networking Sales. Former Associate at A.T. Kearney and Product Marketing professional at Apple, she champions women in tech and sustainability initiatives.

Denise Lee Yeh

Vice President of Engineering Sustainability Office at CISCO

Associate Professor at the Wharton School, pioneering artificial intelligence research. Associate Director of Wharton's Innovation Group, leading studies on AI's transformative impact on work and creativity.

His work contributes to understanding organizational innovation, addressing the intersection of technology and human potential in entrepreneurial ecosystems.

Ethan Mollick

Best-selling author on AI, Co-Director, Generative AI Lab (WU)

Senior Research Associate at the Harvard Labour and Worklife Program and Vice-President of Kozminski University for AI, heading the Human-Machine Interaction Research Center.


Completed post-doctoral research at MIT's Center for Collective Intelligence in Boston. Co-author of "Collaborative Society" (The MIT Press) and "Strategizing AI in Business and Education" (Cambridge University Press) with Dariusz Jemielniak.

Aleksandra Przegalińska 

Senior Research Associate (Harvard), Vice-Rector (Kozminski University)

Academy Award-winning filmmaker, director, writer, and producer known for her work in documentaries and television.

Her acclaimed film Breathing Lessons won an Oscar for Best Documentary Short, establishing her as a powerful voice in non-fiction storytelling. Directed feature documentaries addressing social issues, such as Last Call at the Oasis and Misconception, and worked on popular TV series like Grey's Anatomy and This Is Us.

Jessica Yu

Academy Award-winning filmmaker, director, writer, and producer

Cognitivist (PhD from MIT), Professor Emeritus of Psychology and Neural Science at New York University, best-selling author, entrepreneur. 


Known for his critical insights into machine learning and cognitive science, advancing AI safety and human-centered design. Published extensively, including Rebooting AI, a Forbes “Must-Read” on AI. Founder of Geometric Intelligence, later acquired by Uber to form Uber AI Labs, co-founder of Robust.AI

Gary Marcus

Best-selling author, Prof. Emeritus of Psychology and Neural Science (NYU)

Pioneering voice actor known for iconic roles including Samurai Jack, Green Lantern in the DC Animated Universe, and Hermes Conrad in Futurama.

Versatile performer with over 250 voice acting credits across animation and gaming, including major roles in Metal Gear Solid, Mortal Kombat, and Final Fantasy franchises. Multiple award winner. Currently hosts NASA TV's "Ask the Astronomers Live!" while continuing to shape the landscape of voice acting in animation and gaming.

Phil LaMarr

Pioneering voice actor in the DC Animated Universe and Futurama

Seasoned technology policy executive and Vice President of Public Policy Europe and Global Economic Policy at Meta.

Former Group Public Policy Director at Vodafone, where he led multinational regulatory strategies for a decade. Known for developing strategic public policy frameworks, managing complex stakeholder relationships with EU institutions, and driving regulatory innovation in the technology sector.

Markus Reinisch

VP Public Policy Europe and Global Economic Policy at Meta

Co-founder and CTO of EtiqAI. Recognized as Women in AI Europe 1st prize winner 2020 and named among 100 Women in AI Ethics 2021.

Pioneer in algorithmic bias detection and ML testing, leading Etiq to secure the Innovate UK Smart Grant. Co-founded Beagli, a data marketplace platform, and built analytics capabilities at Velti. Specializes in AI ethics, machine learning validation, and building robust AI systems for production environments.

Raluca Crisan

Co-founder and CTO of EtiqAI, 
1st prize in Women in AI Europe

Vice President of Polish Academy of Sciences and Professor at Kozminski University.

Harvard Berkman-Klein Center faculty associate and Wikimedia Foundation Trustee. Serial entrepreneur, co-founding innovative AI and education startups including RunPixie and InstaLing. Bridging academic leadership with technological innovation across multiple domains.

Dariusz Jemielniak

Vice-President of Polish Academy of Sciences, Faculty Associate (Harvard)

Associate Professor (Quinnipiac University's School of Business), Co-Director of M&T Bank Center for Women in Business, 


Expert in Human+AI Collaboration and Future of Work and co-author of "Converging Minds: The Creative Potential of Collaborative AI" examining synergies between human intuition and AI capabilities. Global speaker and educator.

Tamila Triantoro

Associate Professor (QU), expert in Human+AI Collaboration

Agenda Highlights

November 30th 2024 (watch online)

Generative
Revolution Day

Moderated by Patrick Ney

Hosted by CampusAI

OXFORD-STYLE
DEBATE

Start time: 8:00 PM (CET), 2:00 PM (EST), 11:00 AM (PT).

TOPIC

On the question “Are we, humans, better off with generative AI?

Opposing teams present their arguments, and it’s your votes that decide the winning side!

SPEAKERS
FOR

Denise Lee

Jimmy Wales

Josh Xu

Markus Reinisch

AGAINST

Jessica Yu

Aleksandra Przegalińska

Phil LaMarr

Gary Marcus

PANEL
DISCUSSION

Start time: 9:00 PM (CET), 3:00 PM (EST), 12:00 PM (PT).

TOPIC

“New potential, old shadows – balancing AI with inherited bias”

SPEAKERS

Ethan Mollick

Reluca Crisan

Jimmy Wales

Gary Marcus

Aleksandra Przegalińska (moderation)

PODCAST

Start time: 9:45 PM (CET), 3:45 PM (EST), 12:45 PM (PT).

TOPIC

“Generating tomorrow's insights: How to advance in market research”

SPEAKERS

Charles Bès

Mark Flynn

Tamilla Triantoro (host)

AI INSIGHTS
ARENA
OPEN 24/7
ABOUT

Open dialogue between the viewers about genAI

EVERY REGISTERED USER

Online voting

Live comments on the event

Opinion sharing

Entering competition

Completing research survey about genAI

Generative Revolution Insights

The celebration of Generative Revolution Day is the starting point of a longer process that will continue throughout the year. We call it Generative Revolution Insights because it focuses on driving meaningful dialogue about AI, gathering diverse perspectives, and conducting a global study on generative AI adoption. These efforts will result in a groundbreaking report on generative AI, showcased next year on the most influential AI stages worldwide.

01 Phase

The opening event which sets a starting point for all of you — pioneers, world-class thought leaders, AI enthusiasts and critics — to gather online, ignite fresh ideas, and inspire each other for the year ahead.

This is where the movement - Generative Revolution Insights - begins, bringing people together around a shared mission to shape the future of generative AI.

Generative Revolution Day

Phase image
02 Phase

A month-long period of collective ideation and exploration, designed to gather insights from diverse perspectives. We’ll keep sharing new engaging content — and experts, early adopters, and community members will speak up their minds in podcasts, discussions, opinion boards and surveys.

Join ongoing conversations, share your stories, and help us map out the current state of genAI adoption and where this technology is heading!
You contribute now by filling out our survey!

Brainpooling

Phase image
03 Phase

Insights from brainpooling phase will be distilled into the definitive report on generative AI—a must-read blueprint for the future.

The report will define strategic priorities, tackle key community concerns, and capture the pulse of the generative revolution —refined through direct feedback from early adopters, community leaders, and innovators.

The report will be showcased at the most influential AI events and conferences around the world.

The Report Roadshow

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04 Phase

Whether you're a startup CEO, developer, or innovative user — if you're solving real problems with generative AI, you can submit your project by 31.03.2025 and compete for $15,000 in prizes.

The winners don't just get funding - they earn a speaking spot at next year's Generative Revolution Day, sharing the phase with world-class industry and thought leaders.

This is your chance to move from user to influencer in the generative AI space!

Competition

Phase image

Get Involved

Generative AI models are built using vast amounts of data. However, not limited to proprietary big company’s datasets, but sourced from extensive raw text and images created by billions of people like you and me, representing the collective knowledge of humanity.

This marks a turning point: a technology that is not only widely accessible but also, in many ways, collaboratively shaped by everyone. A technology where every voice matters.

The sheer volume of human voices - across languages, topics, and styles - has enabled the creation of an AI with transformative potential. AI that stands to empower the very people who helped create it.

You made AI possible, now it’s your
turn to shine

Share your story in our project gallery, get ready for the spotlight.

Share Your Story

Submit your Human+Al Collaboration Story

    generative revolution day

    The world was never the same after November 30th 2022. With the public launch of ChatGPT, the first conversational AI model, generative artificial intelligence became accessible through simple dialogue.

    For the first time, anyone could harness the power of AI using natural language alone - no code, no technical expertise, just conversation. This amazingly simple yet revolutionary form of interaction, sent ripples across the globe, marking the dawn of a new era: the human+AI era, co-crafting the future of technology and creativity.

    Generative AI empowers humans by enhancing their ability to create, analyze, understand, and solve problems in ways once unimaginable. Since then, an endless variety of generative AI applications - spanning business, healthcare, social impact, and others - have been successfully developed to change our lives for the better.

    Generative Revolution Day unites innovators, creators, and critics to celebrate, further accelerate and review wide adoption of generative AI.

    Empathize
    1
    Fuel Imagination
    2
    Unleash Creativity
    3
    Unlock and Magnify Talents
    4
    Co-craft the Future
    5
    Make Progress Not Harm
    6
    Empower Humanity
    7
    Democratize Knowledge
    8
    Leap Over Boundaries
    9
    Facilitate Innovation
    10
    Collaborate
    11
    Decoration
    Human + AI ERA
    The best teams today? Humans + AI working hand in hand. Together, we're unstoppable.
    logo logo logo logo
    Campus institute

    The Human+AI Institute, launched by CampusAI, is dedicated to co-crafting a future with AI that empowers, assists, and guides humans—while never seeking to replace, deceive, or fake them. As part of CampusAI's initiative to facilitate dialogue and raise awareness about generative AI technology, the institute plays a crucial role in navigating its smooth adoption. Our mission is to provide data, tools, and critical insights into the broad spectrum of human+AI collaboration, benefiting society, innovators, researchers, and market players in the AI industry.

    We focus on two key areas

    _Preparing Humans for AI

    Every change needs attention and care. Driven by the belief in the great potential of the emerging Human+AI collaboration we emphasize education, reskilling, rising awareness about potential risks, best practices, debunking myths a nd inspiration through real-world applications. We help navigate the new paradigmthrough deep analysis of the current state of human skills, societal expectations, and AI readiness.

    _Aligning AI with Humans

    Through scientific research and reliable reports, as well as by benchmarking, refining, and creating new datasets and tools, we aim to guide AI system providers in the right direction - one that aligns with human values, cognitive capacities, and physical needs, while addressing biases and ethical concerns, ultimately helping to bring out the best in Human+AI collaboration.