- AI EXPERTS -
Elon Musk founded and runs several of the world’s largest AI and tech companies, including Tesla, SpaceX, and Neuralink, and is a Founder of OpenAI. A visionary futurist and one of the world’s richest men, his AI might drive us to work, send us to Mars, or read our minds.
Sam Altman is the CEO of influential research lab OpenAI, creators of the text generating AI GPT-3 and many other projects that aim to help humanity by developing friendly AI. A programmer, investor and entrepreneur, he was formally CEO of Y Combinator, a startup accelerator that has launched 2,000+ companies.
Jerome Pesenti is Head of Facebook’s AI team, seeking ways to use applied AI to make Facebook safer and more useful. Prior to this, he spent three years as CEO of Benevolent Tech. He also worked at IBM Watson managing research into deep learning for natural language processing, machine translation, and other tasks, after IBM aquired his company Vivisimo.
Kai-Fu Lee is CEO and Chairman of Sinovation Ventures, a high-tech venture capital fund managing $2 billion, and President of Sinovation Ventures Artificial Intelligence Institute. As one of China’s top AI experts and former executive at Apple, Google, and Microsoft, he predicts that AI could replace 40% of the world’s jobs.
Stanford Professor Andrew Ng is the co-founder of Google Brain and former Baidu VP and Chief Scientist. A thought leader in machine and deep learning, he now drives innovative AI through AI Fund and his company Landing AI. He also co-founded the online learning platform Coursera, serving 43 million users.
Fei-Fei Li is a Co-Director of both Stanford’s Vision and Learning Lab and Institute for Human-Centered Artificial Intelligence. Prior to this, she was the head of Google Cloud and chief scientist at ImageNet, a visual database for research into visual object recognition. She founded AI4ALL to address diversity issues in AI.
Lex Fridman is a Researcher at MIT studying human-centered AI, deep learning, and autonomous vehicles. He hosts a podcast about AI, technology, philosophy, intelligence, consciousness, and other subjects. Prior to this, he worked at Google researching machine learning for behavior-based authentication. He is interested in learning how humans can collaborate with robots.
Sean Gardner is an AI and technology expert, as well as the co-founder of the Huffington Post’s influential "Twitter Powerhouses Series" interviewing hundreds of technology and digital culture experts. He is a board member of the World Communication Forum at Davos, UN consultant, and a former employee of Apple and Microsoft.
Andrej Karpathy is Tesla’s Director of Artificial Intelligence and Autopilot Vision, and he uses deep learning and image recognition to create the Autopilot neural network, sourced from nearly 1 million vehicles, that keeps Tesla’s autonomous cars on the road. Prior to this, he was a founding member of OpenAI.
Kirk Borne is Principal Data Scientist, Data Science Fellow, and Executive Advisor at the management consulting firm Booz Allen Hamilton. He was named 2019’s #1 Digital Influencer by IPFC online for his expertise in AI, big data, and data science. He holds a PhD in Astrophysics and was a co-creator of the Astroinformatics field.
Ronald van Loon is the CEO and Principal Analyst at Intelligent World, a content-sharing network and collaborative platform for thought leaders, analysts, and influencers in business, AI, and data analytics, where users can access cutting-edge insight and courses. He is also an AI, big data, and analytics advisor at the online course provider Simplilearn.
Yann LeCun is a Vice President and Chief AI Scientist at Facebook, as well as an NYU professor in Computer, Data, and Neural Science. He received the Turing Award for deep learning research in 2018 and is noted for his work in computer vision. He is sometimes called a “Godfather” of AI and deep learning.
Mike Tamir is the Head of Machine Learning/AI and Chief Machine Learning Scientist at Susquehanna International Group, an investment firm using cutting-edge big data methods. He is also in the Data Science Faculty at UC Berkeley, with work focusing on language and deep learning as well as large-scale machine learning.
Francois Chollet is a software engineer and AI researcher working at Google. He created the deep learning API Keras and wrote the book Deep Learning with Python. He is interested in using AI to help people unlock their potential, such as through education and productivity tech, and in making AI more accessible to more people.
Ian J. Goodfellow is the Director of Machine Learning at Apple’s Special Projects Group and a former research scientist at Google Brain. He wrote the textbook Deep Learning and is the creator of the machine learning framework generative adversarial network (GAN), which can be trained with a given data set to generate similar data sets.
Demis Hassabis is the founder and CEO of the research-focused DeepMind, which was aquired by Google for $500 million in 2014. DeepMind’s AlphaGo emphasized AI’s potential by beating Go world champion Lee Sedol in 2016. A former chess player and game designer, Hassabis has been called “the superhero of artificial intelligence.”
Jeff Dean leads Google AI and co-founded Google Brain, a project dedicated to researching and creating intelligent machines. Prior to this, he helped develop two foundational systems for deep-learning training and deployment: DistBelief and TensorFlow. He also supports philanthropic projects to increase diversity in STEM.
Antonio Grasso is the Founder and CEO of DBI (Digital Business Innovation), a consulting firm working on digital business transformation. Their projects have included AI for Head Temnography for diagnosis of head diseases using machine learning algorithms. He is also a startup mentor and B2B tech influencer.
Vincent Boucher is the President, Founder, and CEO of Montreal.AI and Quebec.AI. He also founded Canada’s largest AI community and aims for Montreal.AI to reach unicorn status and make Quebec the world’s leading center for AI by 2030. He is also involved in education, art, and consulting related to AI.
Fabio Moioli is Consulting and Services Head at Microsoft and a Faculty Member at Singularity University at Harvard BR, MIP Politecnico di Milano, and LUISS. He is a founding member of Italia4Blockchain and a TEDx speaker. Considered a top tech influencer, he addresses the opportunities, challenges, and social issues related to AI.
Sophia the Robot is a humanlike robot built by Hanson Robotics, a Hong Kong based AI and robotics company. She debuted at 2016’s South by Southwest, and has since been featured by numerous media outlets, becoming the first non-human to receive a UN title. Her social media accounts are run by a human social media team and her dialogue system.
Bernard Marr is a futurist and bestselling author of the Intelligence Revolution and Tech Trends in Practice. He provides strategic consulting to governments and businesses on tech and data and was recognized by LinkedIn as the UK’s #1 influencer and in the top 5 worldwide. He maintains a YouTube channel dedicated to AI and tech developments.
Hilary Mason is a Founder of Fast Forward Labs, a machine learning research and strategy lab that was aquired by Cloudera in 2017. She also co-founded Hidden Door Co., an AI storytelling platform for families and is a Data Scientist at Accel. Prior to this, she was Chief Data Scientist at bitly and received the TechFellows Engineering Leadership award.
Randy Olson is a data scientist who writes offbeat stories using data science and visualization to explore topics like marble racing, road trips, and Where’s Waldo books. His work has appeared in outlets including the New York Times, Wired, FiveThirtyEight, and more. He is also a community advocate for r/DataIsBeautiful and posts new visualizations every day.
Iain Brown is SAS UK & Ireland’s Head of Data Science, as well as an Adjunct Professor of Marketing Analytics at University of Southampton. He has published numerous papers and books on subjects including AI, machine and deep learning, and natural language understanding, and is a thought leader in these fields, as well as risk.
Spiros Margaris founded Margaris Ventures, a VC firm focusing on AI. He was ranked in several listings as 2020’s #1 influencer in AI, fintech, and finance, and was the first person to receive Onalytica’s “Triple Crown” for ranking #1 in AI, fintech, and blockchain. He is on the board of advisors of wefox Group.
Dr. Craig Brown is a technology and business consultant for top Fortune 1000 companies and a subject matter expert in big data, data science, analytics, AI, and machine learning. He holds PhDs from both Cornell and University of Pennsylvania, as well as an MBA from Wharton. He shares the latest technology news on Twitter.
Dr. GP Pulipaka is the Chief Data Scientist and SAP Technical Lead at Accenture, and prior to this he was the CEO and Chief Data Scientist at DeepSingularity LLC, a SAP consulting company. He is a technology leader and a SAP expert, with a decade of experience in AI, deep and machine learning, and data science.
Larry Kim is the CEO and Founder of MobileMonkey, a powerful chatbot marketing platform, and the founder of WordStream, which provides keyword marketing tools and was aquired for $150 million by Gannett. He has spoken to MBA students at Harvard, MIT, and BU, and was recognized by the US Congress as a high-tech job creator.
Oriol Vinyals is a Principal Research Scientist at Google DeepMind, researching deep learning, machine learning, neural networks, and reinforcement learning. He created AlphaStar, the first AI to beat a professional StarCraft player. He shares news about Google’s new projects, his own research, and resources for pursuing education and a career in AI.
Geoffrey Hinton is Co-founder and Chief Scientist at Toronto’s Vector Institute for Artificial Intelligence. He also researches machine learning at Google and the University of Toronto. A cognitive psychologist and computer scientist, he received the 2018 Turing Award (computer science’s highest prize) and is sometimes called the “Godfather of Deep Learning.”
Andy Fitze is the CIO and Co-founder of SwissCognitive, a global AI hub that aims to inject Switzerland’s tech industry with expertise in AI, intelligent expert systems, and cognitive intelligence. He is also a Co-Founder and Board Member of Cognitive Valley. He is an international AI thought leader concerned with the practical applications and social implications of this technology.
David Ha is a Google Brain research scientist and former Brain Resident in machine learning. His interest lies in how constraints such as limited resources and other “bottlenecks” affect AI and machine learning. Prior to this, he was a Managing Director at Goldman Sachs and an Associate at Barclay’s Investment Bank.
Michael Fisher is a Senior Systems Analyst at Whitcraft Group as well as a technology evangelist, cybersecurity expert, and consultant. He is an influencer with interests including data science, internet of things, fintech, cyber security, digital transformation, virtual reality, and 5G, and he spoke on AI and cybersecurity at SXSW 2018.
Hugo Larochelle leads Montreal’s Google Brain team and is an adjunct professor. His research includes deep learning algorithms, computer vision, and natural language processing (NLP). He is also a Chair of CIFAR, a Canadian organization uniting researchers and 20 Nobel laurates to answer science and humanity’s most pressing questions, which developed and leads the Pan-Canadian Artificial Intelligence Strategy.
Soumith Chintala is an AI researcher at Facebook who co-created PyTorch, one of the top deep learning platforms used in thousands of open-source and industry products, and which has been downloaded tens of thousands of times. He wants to make AI more accessible and his research interests include machine learning, robotics, and generative adversarial networks (GANs).
Jean-Baptiste Lefevre is Senior Consultant at Merkutio. He is a technology consultant, growth hacker, and influencer who has been ranked by Onalytica for insurtech, fintech, AI, machine, learning, internet of things, emerging technologies, and other areas. He provides consulting and social media services for companies including Huawei, Oracle, and Hewlett Packard.
Rachel Thomas founded and directs the University of San Francisco’s Center for Applied Data Ethics, which addresses issues like bias, disinformation, and predictive policing through advocacy, education, research, and policy. She also co-founded fast.ai, an online learning platform, software library, and community to increase understanding of and participation in deep learning.
Christopher Isak is the Founder and Managing Editor of the online magazine and technology media company TechAcute. His journalistic interests include tech, gaming, internet of things, and the modern office. He also works in IT service and project management for GMS Global Media Services, a provider of business media and communication services.
Kate Crawford is Co-founder and Co-director at the AI Now Institute at NYU, which researches AI’s impact on society, sometimes collaborating with the ACLU. She co-founded Microsoft’s Fairness, Accountability, Transparency, and Ethics group (FATE), is a contributor to the World Economic Forum, and co-chaired the Obama administration’s symposium on AI.
Nige Willson is the Founder of awakenAI, an advisory offering large AI insight to small companies. He is also a Founding Editorial Board Member of the AI & Ethics Journal, Chief Advisory Board Member to the AI platform MarkTechPost, and a founder of the NGO We and AI. Prior to this, he spent 20 years at Microsoft.
Alvin Foo is a Co-founder at DAOventures, a Singapore-based blockchain investment advisory. He is also an Advisor to data intelligence platform Bitcurate, AI and blockchain ad exchange network NOIZ, and AI-driven marketing platform Robin8. He also mentors startups at China Accelerator and the Spark Labs Global Accelerator. Prior to this, he was Google’s Greater China Head of Mobile.
Pinna Pierre is the Founder and CEO of the France-based digital transformation Agency IPFConline Digital Innovations. He is a computer science engineer with interests in AI, ethics, big data, analytics machine learning, eLearning, and digital marketing. AI Times Journal called him one of “20+ Inspiring Data Scientists to Follow in 2020.”
Monica Rogati is a Data Scientist and AI Advisor who serves clients of all sizes in numerous industries. Fast Company called her one of the “100 Most Creative People in Business” and she is a Fortune Magazine Big Data All-Star. Prior to this, she was VP of Data at Jawbone and developed many of LinkedIn’s key data products.
Roman Yampolskiy is a Professor of Computer Science and Engineering at University of Louisville. He has written books including AI Safety and Security and Artificial Superintelligence: A Futuristic Approach as well as hundreds of publications. He has been cited more than 1000 times and featured in media including New Scientist, Science World, and BBC News.
Ben Goertzel is CEO at SingularityNET, combining AI and blockchain to create an open market for AIs. He is also chairman of both Open Cog and the Artificial General Intelligence Society. Prior to this, he was Chief Scientist at Hanson Robotics (creators of Sophia the Robot). His interests include transhumanism, life extension, philosophy of mind, consciousness, theoretical physics, and metaphysics.
Peter Skomoroch was the CEO and Co-founder at SkipFlag, a deep-learning startup that was aquired by Workday in 2018, where he then became Head of Data Products and AI Automation. An early advocate for product development using machine learning and data science, he also led the data science team that developed some of LinkedIn most important products.
Martin Ford is an entrepreneur and bestselling author whose work focuses on AI, robotics, and their future impact on the economy and society. His book Rise of the Robots: Technology and the Threat of a Jobless Future was translated into 20 languages and was named Business Book of the Year by Financial Times/McKinsey.
Sebastian Raschka researches machine and deep learning as Assistant Professor of Statistics at the University of Wisconsin-Madison, focusing on problems related to computational biology, biometrics, facial recognition, and privacy. He delivered a machine learning tutorial at SciPy and his bestselling book Python Machine Learning won 2016’s ACM Best of Computing award.
Mustafa Suleyman is Vice President of Artificial Intelligence Policy at Google, and prior to this he was Co-founder and Head of Applied AI at DeepMind before its acquisition by Google for £400 million (~$522 million) in 2014. He also led research products using AI to improve healthcare in the UK and co-founded the Partnership on AI.
Gary Marcus was CEO and Founder of RobustAI and Geometric Intelligence, a machine learning company that was aquired by Uber. He is also a Professor of Psychology and Neural Science at NYU. His most recent book is Rebooting AI: Building Machines We Can Trust, and he has published in fields including AI, behavior, psychology, neuroscience, genetics, and linguistics.
Ben Lorica is a data scientist and organizer of Spark + AI Summit (the world’s largest data and machine learning conference) and Ray Summit (an online summit on the open-source Python framework, Ray). Prior to this, he was Chief Data Scientist at O'Reilly Media and was Program Chair of Strata, the A.I. Conference, and TensorFlow World.
Andreas Mueller is Principal Research SDE at Microsoft and Associate Research Scientist and Lecturer at Columbia University. Prior to this, he worked at NYU and Amazon. He wrote Introduction to Machine Learning with Python and is a core developer of the scikit-learn machine learning library. He aims to democratize access to machine learning and create accessible open-source tools.
Sven Philipsen is CEO and Founder of Eachthing ApS, a startup platform using machine learning (AI), blockchain, and algorithms to help conscious consumers find goods. He is a top influencer in AI, blockchain, machine learning, and internet of things. He is also a member of a Danish government thinktank on food waste and an advisor to the Green Electronics Council.
Jack Clark is the Strategy and Communications Director at the nonprofit OpenAI, the research institute that recently developed the uncanny text generating AI GPT-3, among many other projects. He curates the newsletter Import AI and helped develop the AI index used by the Stanford One Hundred Year Study on AI.
Anima Anandkumar is a Director of Machine Learning Research at Nvidia, a multinational involved in graphics processing, integrated circuits, and high-performance parallel processing for researchers and scientists. A Bren Professor of Computing at Caltech, she first proposed the tensor algorithms used to process multidimensional and multimodal data.
Tamera McCleary is CEO of Thulium, a B2B social media company combining AI and storytelling to serve clients including SAP, Oracle, Cisco, Cognizant, Dell, and IBM. B2B Marketing called her the Most Influential Woman in MarTech and Klear ranks her in the Top 5 thought leaders in AI, robotics, internet of things, and digital transformation.
Sander Dieleman is a Research Scientist at DeepMind. Prior to this, he founded a community music portal. His interests include machine and deep learning, music, generative models, neural networks, feature learning, music information retrieval, and recommender systems.
Neil Cattermull is Director of the tech consultancy The Future as a Service, and prior to this he was Director of several agencies offering IT, cloud, and fintech solutions. He is ranked globally as a technical writer and cloud technology influencer, with interests in AI, blockchain, and internet of things.
Dan Yarmoluk was Director of Digital Transformation – Industrial Internet of Things and Data Science at ATEK Access Technologies, with products including TankScan and AssetScan. He also hosts the All Things Data Podcast. He is interested in how AI, big data, analytics, and internet of things intersect with business models to drive commercial value.
Tarry Singh is Co-founder and Principal AI Instructor at LiveAI, an online education platform. Prior to this, he was Founder and AI Researcher at deepkapha.ai, which used AI and deep learning to solve problems in industries including healthcare, climate, and policy. A Founding Member of the WHO’s Focus Group AI4H, he advocates for AI that is both practical and humanitarian.
Zachary Lipton is Professor of Operations Research and Machine Learning at Carnegie Mellon and is Principal Investigator at the Approximately Correct Machine Intelligence (ACMI) Lab, dedicated to creating AI that can adapt to today’s changing world, considering social implications of machine learning, and using it to solve problems in clinical medicine. He also edits their machine learning blog, Approximately Correct.
Alec Radford is a Co-founder and Head of Research at Indico Data Solutions, seeking to widen the usage of text and image machine learning technology by making it accessible for small-to-medium range businesses and developers. Their current project rapidly increases the speed of text and image analysis. He also researches machine learning at OpenAI.
Pedro Domingos is a Professor of Computer Science and Engineering at the University of Washington and recipient of prestigious data science and AI awards: SIGKDD Innovation Award and the IJCAI John McCarthy Award, as well as a Fulbright Scholarship and an IBM Faculty Award. He wrote The Master Algorithm and is interested in AI, data science, and machine learning.
Adam Coates is a Director at Apple with an interest in deep learning and using AI to improve the world. Prior to this, he was the Director of Baidu's Silicon Valley AI Lab, which developed Deep Speech, Deep Voice, and other natural language processing (NLP) technologies. He was also an Operating Partner at Khosla Ventures.
Vinod Sharma is the CTO at Ascend Money for True Money, Southeast Asia’s largest fintech player. Prior to this he was CTO for Cassava SmarTech at Econet Wireless Zimbabwe, which aimed to use digital solutions to provide access to financial services for African people, improving their quality of life. He is a digital transformation leader.
Kate Darling is a Research Specialist at MIT’s Media Lab with an interest in how robotics and technology influence society. She focuses on human-robot interaction and policy and ethics related to information processing and other emerging technologies and has researched the economic impact of intellectual property systems. She is also a futurist writer and speaker.
J.P. Gowdner is Vice President and Principal Analyst at Forrester Research, with expertise in AI, automation, robotics, VR/AR, mobility, and end-user computing. He leads their research into the impact of these technologies on the economy and the future of work. He also consults on marketing, strategy, business development, and data.
An AI designer and business leader, Mariya Yao is the Product Officer and CTO at Metamaven, which creates custom marketing solutions using AI, data science, and machine learning. She also examines the uses of AI for business in her newsletter TOPBOTS and in her book Applied Artificial Intelligence: A Handbook for Business Leaders.
Miles Brundage is a Research Scientist on OpenAI’s Policy team and an AI Policy Research Fellow at Oxford’s Future of Humanity Institute. He is also a member of Axon's AI and Policing Technology Ethics Board. His academic work focused on the intersection of humanity and technology and he interned for the Institute for Human and Machine Cognition (IHMC).
Reza Zadeh is Founder and CEO at Matroid, a computer-vision startup, and Adjunct Professor in computational mathematics at Stanford. Prior to this, he was a Senior Data Scientist at Twitter using machine learning to make follow recommendations and worked at Google, IBM, and the distributed machine learning company Databricks.
Joanna Bryson is a Professor of Ethics and Technology at the Hertie School of Governance and a Scientific Board Member in the Task Force on Artificial Intelligence and Cybersecurity at the Centre for European Policy Studies (CEPS). She has also advised on ethics and technology at organizations including Google and Mindfire and taught at University of Bath and Oxford.
Martin F. Robbins is an applied AI expert with a decade of experience in product and strategy. He writes about science and culture for VICE and the Guardian, as well as for his publication Curious Endeavors. He is also an advisor for First Create the Media, a media consultancy for scientists. He explores how human creations shape the world.
Alex J. Champandard is Founder and Editor-in-Chief of AiGameDev.com, which provides training in AI and animation technology and is the largest online community for AI games. He directs the nucl.ai conference, the world’s largest creative AI gathering, and is a Co-founder of Creative.ai. He is an AI and machine learning expert with creative design and technical expertise.
Nathan Benaich is a Founder and General Partner at the venture capital firm Air Street Capital, focused on AI-first and life science companies combining leadership from Google, Apple, DeepMind, Facebook, Niantic, and Lyft. He also founded the Research and Applied AI Summit (RAAIS) and is co-author of the annual State of AI Report.
Oren Etzioni is CEO of the Allen Institute for AI (which seeks to use AI research for the common good), an Emeritus Professor of Computer Science at the University of Washington, and a Venture Partner at Madrona Venture Group. With interests in machine reading and web search, he was named Seattle's Geek of the Year in 2013.
Samiran Ghosh is a Forbes Technology Council Member (an invitation-only position for tech leaders) and is Chief Evangelist and Head of Innovation Lab at Rockmetric, leading their Data for Good Initiative. He also advises startups including the blockchain company Uniris. His long career has included stints at Microsoft, IBM, and McKinsey, and he has co-authored books on AI and blockchain.
Thomas Wolf is Founder and CSO at Hugging Face, a startup focused on natural language generation and understanding. His background is in physics and patent law for companies in machine and deep learning and he has been programming since he was a child. He is interested in deep learning and computational linguistics.
Mark Tabladillo is a Data Scientist at Microsoft, working with Azure for machine learning, cognitive science, and related technologies. He has extensive expertise in cloud solutions, technical architecture, and process leadership for AI and data science. He serves some of Microsoft’s largest and most important enterprise clients with solutions in transformation, cybersecurity, privacy, and innovation.
Cade Metz writes about AI, robotics, driverless cars, and other emerging technologies for the New York Times, as well as previously as a former staff writer for WIRED. His book Genius Makers, about the rise of AI at big tech companies including Google, Microsoft, and Facebook, is due in March 2021.
Timnit Gebru is Technical Co-lead of Google’s Ethical AI Team, Co-founder of the black researchers’ community Black in AI, and Co-author of Gender Shades with Joy Buolamwini. She works to fight algorithmic bias and increase diversity and inclusion in AI, and she has advocated against AI’s use in law enforcement.
Cassie Kozyrkov is Chief Decision Scientist at Google, and she aims to create safe AI and democratize decision intelligence. As the designer of Google’s analytics program, she trained more than 20,000 Google employees in machine learning, statistics, and decision making. She writes a newsletter on data-driven decision-making and contributes to Medium.
Rana el Kaliouby is a Co-founder and CEO of Affectiva, which uses AI to analyze users’ emotions, potentially revolutionizing advertising, automotive safety, and more. Considered one of tech’s most influential women, she also researched the potential of emotional recognition technology for autism and mental health treatments at MIT Media Lab.
Diana Adams is a tech journalist and blogger, as well as a social media influencer for Ericsson. She co-founded Adams Consulting Firm, a small-business technology consultancy in Atlanta. She is interested in digital transformation, AI, big data, machine learning, mobile technologies, cloud computing, and internet of things, and is a member of the Apple Consulting Network.
Adelyn Zhou is CMO and Head of Chainlink Marketing at SmartContract, promoting the rapidly growing blockchain technology Chainlink. She is also CTO and Co-founder of TOPBOTS and Co-author of Applied Artificial Intelligence. A technology leader, she contributes to Forbes and Venturebeat on AI, machine learning, and marketing, and has experience at Amazon, Eventbrite, and Nextdoor.
Xavier Amatriain is Co-founder and CTO of the startup Curai, which uses AI to power healthcare. Prior to this, he was instrumental in building Netflix’s recommendation algorithms and led Quora’s engineering team. An accomplished technical team leader, He has published more than 50 papers and books, with interests including machine learning, technical management, and software engineering.
Paul Roetzer is CEO and Founder of Marketing Artificial Intelligence Institute and PR 20/20. Aiming to make marketers aware of the revolutionary potential of AI, he has published books and started the AI Academy for Marketers and the Marketing Artificial Intelligence Conference (MAICON). He consults for business of all sizes, including Fortune 500 companies and small startups.
Hanna Wallach is a Senior Principal Researcher at Microsoft and an Adjunct Professor at UMass Amherst. Her work concerns fairness and ethics in AI, integrating knowledge from natural language processing, machine learning, and human–computer interaction with insight from law and policy. She founded several organizations promoting women in STEM, including the Women in Machine Learning (WiML) Workshop.
Jürgen Schmidhuber helped develop the deep learning neural networks used at Apple, Google, Microsoft, Facebook, and Amazon, and which are currently on 3+ billion devices. He is a Co-founder and Chief Scientist at NNAISENSE, which develops neural networks for general-purpose AIs using superhuman perception and intelligent automation, as well as the Chief Scientist at the renowned Swiss lab IDSIA.
Harry Shum is a Microsoft VP and Researcher who has worked on the product and research sides of technologies that will change the future. He started the lab at Microsoft Research Asia and led engineering at Bing. His interests include AI, computer vision, and graphics. He hopes to bring AI out of the lab and into the world.
Melanie Mitchell is a Computer Science Professor at Portland State University and a Davis Professor at the Santa Fe Institute, with interests in AI, cognitive science, machine learning, evolutionary computation, and complex systems. She wrote Artificial Intelligence: A Guide for Thinking Humans and has been featured in the New York Times, Wired, Aeon, and other media outlets.
Karen Hao is MIT Technology Review’s senior AI reporter and the author of the Webby-award winning newsletter The Algorithm. She reports on new technology and its social impact. Prior to this, she was an engineer at a Google X spin-off startup and a data scientist and reporter at Quartz.
Gene Kogan is a researcher at Sourcetone, training AI to recognize emotions in music. He is also an Engineer and Instructor at Harvestworks, teaching artistic programming and recording. His interests include autonomous systems, collective intelligence, and generative art, and he is involved in numerous open-source projects. He wants to make science more accessible through education and creativity.
John C. Havens is the Executive Director at the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, which brings together experts in academia, engineering, and business with government representatives to encourage responsible tech prioritizing “people and the planet over profit and productivity.” He is also a writer, speaker, and member of the World Economic Forum.
Andy Pardoe is Chief AI Officer and Chairman at the consultancy Combined Intelligence. He hosts the AI Future Show and is Chair of Warwick Innovation District’s Deep Tech Innovation Centre, combining startups, entrepreneurs, and academic research expertise. A venture capitalist and thought leader, he advised the film We Need to Talk about AI and co-authored The AI Book.
Andreas Maier is a machine learning researcher and Professor at the Pattern Recognition Lab at the University of Erlangen-Nuremberg. He developed PEAKS, the first online tool to assess speech intelligibility. He is a Member of the Steering Committee of the European Time Machine Consortium, and his background also includes health care research and innovation management.
Adam Geitgey is a machine learning consultant and software engineer. He wrote the book Machine Learning Is Fun!, creates online courses on machine learning for software engineers on Lynda.com, and writes for LinkedIn Learning. Prior to this, he was Director of Software Engineering at Groupon and was Co-founder and CTO at Tucuxi Software.
Delip Rao is the Vice President of Research at AI Foundation, using machine and deep learning in language, speech, and vision to generate and detect fake content. He is also a Co-founder and Organizer of The Fake News Challenge, which fought misinformation and disinformation using AI. Prior to this he worked at Amazon, Twitter, and Google.
Tabitha Goldstaub is Chair of the UK Government’s AI Council and Co-founder of the AI advocacy and education group CognitionX. The author of How to Talk to Robots (guide to AI for girls), she increases diversity in AI through co-founding the Future Girl Corp, advising Founders 4 Schools, and writing about technology for Vogue.
Terence Mills is CEO and Chairman of the Board of AI.io, applying AI to meet business needs in travel, healthcare, and entertainment. He is on the Forbes Technology Council and regularly writes about AI. Recognized as an AI and tech thought leader, he has delivered numerous keynote speeches. Prior to this, he was CEO of five tech companies.
Matt Schlicht is CEO of Octane AI, makers of conversational technology used for marketing by GoPro, Royal Caribbean, and Warner Music Group. He is also the Founder and Editor of Chatbots Magazine, a platform for AI experts with 1,000 contributors and 250,000 monthly readers. He has been named twice on Forbes’s 30 Under 30 list.
Business leader and roboticist Carol Reiley is the Co-founder and former President of Drive.ai, which launched their own autonomous car service in Texas, becoming the first company to earn revenue from self-driving cars. At one point valued at $200 million, Drive.io was aquired by Apple for their electric car, Project Titan.
Moustapha Cisse leads Google’s AI Center in Ghana and co-founded both the African Masters in Machine Learning and Black in AI, a network dedicated to increasing representation of Black people in AI. Prior to this, he was a Scientist at Facebook Artificial Intelligence Research (FAIR). He hopes AI can fight inequality.
Dhruv Batra is a Research Scientist at Facebook AI Research (FAIR) and a Professor at Georgia Tech. He hopes to develop AI that can see, talk, act, and reason, and his research has been covered in outlets including CNN, BBC, MIT Technology Review, NPR, and New Scientist. He is also a Co-founder at the AI-related recruiting solution Caliper.
Sara Castellanos is a Reporter covering emerging technologies for the Wall Street Journal’s CIO Journal. Prior to this, she was at the Boston Business Journal covering startups, venture capital, and tech. She has more than 10 years of experience and received awards for stories including her coverage of the Aurora theater mass shooting.
Alexis Conneau is a Research Scientist at Facebook whose work focuses on deep learning for natural language processing to combat hate-speech and bullying, using multilingual self-supervised representation learning. His work also includes speech recognition and multilinguality. Prior to this, he was a lecturer on deep learning for natural language processing at École Normale Supérieure Paris-Saclay.
Cristian Canton is the Head of Facebook’s AI Red Team, a white hat security team that attacks AI to uncover its vulnerabilities. Prior to this, he was a developer at Facebook and Microsoft, as well as a Technical Expert for the European Commission working on EU projects related to image processing, computer vision, and machine learning.
Andrew Carr is a Research Intern at Google Brain, Computer Science PhD candidate, and Computational Mathematics Instructor at Brigham Young University who focuses on intelligent systems and machine learning. Prior to this, he interned at Lyft, improving their dynamic vehicle prediction’s performance by 22.5% using machine learning, physics, and data-driven models.
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