The latest AI Experts news
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Nando de Freitas
Description: Nando de Freitas is a researcher in the field of machine learning, and in particular in the subfields of neural networks, Bayesian inference and Bayesian optimization, and deep learning. Now a researcher at Deepmind, he does not hesitate to share the latest advances in the field on social networks. He believes that it is by sharing simulators, code and data that robotics will progress. -
Nige Willson
Description: Global speaker, influencer and advisor on artificial intelligence, innovation and technology (ranked among the best AI influencers in the world) - former European chief technology officer at Microsoft, but now an independent voice on artificial intelligence and Responsible use and implementation of technology. He agrees with expert Judeal Peral that causation is a key to moving forward. -
Ria Pratyusha Kalluri
Description: Ria was a researcher at MIT, when she got deeply interested in artificial intelligence. At first, she built AI systems to reveal events inside the human body. At the Dana-Farber Cancer Institute, she developed an algorithm to identify changes in genetic pathways that underlie breast cancer, and at MIT Media Lab, she developed a device to automate stethoscope auscultation. Over time, his research has converged on this most complex and least understood organ: the human brain. She has built AI systems that model facets of human intelligence and human language processing. She is curious about what we are going to do about computer vision and attends conferences on the subject. -
Ifeoma Ozoma
Description: Ifeoma Ozoma est un expert américain en politique et un défenseur de l'équité. Son travail consiste à lutter contre la désinformation sur la santé et la responsabilité technologique. Elle est la fondatrice du cabinet de conseil Earthseed. Elle a reçu le prix Bold 2020. Elle pense qu'iIl n'y a pas de responsabilité technologique sans dénonciateurs technologiques. Il n'y a pas de responsabilité technologique sans les travailleurs technologiques. -
Will Knight
Description: Will Knight is a senior writer for WIRED, covering artificial intelligence. He was previously an editor at MIT Technology Review, where he wrote about fundamental advances in AI and the AI boom in China. Prior to that, he was editor and writer at New Scientist. -
Dr Kate Crawford
Description: Kate is a researcher at Microsoft Research (Social Media Collective) and Co-Founder and Director of Research at NYU's AI Now Institute, Her research focuses on social change and media technologies, particularly the intersection of humans, devices mobile and social networks. She has published articles on cultures of technology use and how media stories inform the present. She has written a book titled ATLAS OF AI: Power, Politics, and the Planetary Costs of Artificial which discusses the impacts of AI in our society. She believes there is an urgent need to regulate emotion recognition technology. -
Justin Hendrix
Description: Justin Hendrix is co-founder and CEO of Tech Policy Press, a new nonprofit media company focused on the intersection of technology and democracy. Previously, he was executive director of the NYC Media Lab. He has spent over a decade at The Economist in roles such as Vice President, Business Development and Innovation. He is an associate researcher and assistant professor at the NYU Tandon School of Engineering. He informed the AI community that Facebook had scraped off 1 billion Instagram photos for the former AI son.In addition, he relayed the information according to emails between the NYPD and controversial facial recognition startup Clearview AI are now in the public domain. -
Jenn Wortman Vaughan
Description: She is a researcher at Microsoft Research, New York City, a collaborative and interdisciplinary basic research laboratory. She now spends her time on responsible AI - specifically transparency, interpretability, and fairness of AI systems - as part of Microsoft's FATE group and co-chair of Microsoft's Aether Transparency Working Group. who have studied these interactions in the context of prediction markets and other crowdsourcing systems. His passion is for AI which increases, rather than replacing, human capabilities. Much of her work has been theoretical - she likes a beautiful, clean model that captures the essence of a problem and provable guarantees. She began to incorporate more experiments and even qualitative methods into her research to better understand human behavior in socio-technical systems. She occasionally talks about social issues related to AI. She thinks evaluating AI systems for performance disparities between groups is harder than it looks. -
Dr Mona Sloane
Description: Mona Sloane is a sociologist working on inequalities in the context of AI design and policy. She frequently publishes and speaks about AI, ethics, fairness and politics in a global context. She's also a Senior Research Scientist at the NYU Center for Responsible AI, Adjunct Professor at NYU's Tandon School of Engineering, and believes the time is right for a transatlantic dialogue on AI risk. She believes that today there is no clear definition of “algorithmic auditing”. She also cautions against the risk of enshrining eugenic technology in weak regulation. -
Kathy Baxter
Description: Kathy is Architect of Ethical AI Practice at Salesforce. she develops research-based best practices to educate Salesforce employees, customers and industry on developing responsible AI. She collaborates and partners with external AI and ethics experts to continuously evolve Salesforce policies, practices and products. She enjoys having conversations about responsibility. Prior to Salesforce, she worked at Google, eBay, and Oracle in user experience research. Her book, “Understanding Your Users,” was published in May 2015. Kathy keeps her research updated at einstein.ai/ethics. She believes that different value systems imply different mechanisms for a fair decision price. She tells us that trying to replace public health with a machine learning model doesn't make sense.