Areas of Expertise: Artificial intelligence (AI), machine learning, deep learning, computer vision and cognitive neuroscience.
Bio: Fei Fei Li is a Professor of Computer Science at Stanford University, a Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence, and a Co-Director of the Stanford Vision and Learning Lab. Li served as Vice President at Google and Chief Scientist of AI/ML at Google Cloud.
Dr. Li has published more than 200 scientific articles in top-tier journals and conferences. She is the founder of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. Li is also a leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education.
Areas of Expertise: Copyright, monopoly, privacy.
Cory Doctorow is a clear and concise writer. He makes nerdy, science-y posts engaging and understandable. He walks the talk. As a proponent of liberalising copyright laws, he publishes his books under a Creative Commons license. And as a privacy proponent, he includes no ads, tracking, or data-collection on his blog or newsletter.
Areas of Expertise: Free speech, global privacy, malware, and nation-state spyware
Eva is an advocate for civil liberties, focusing on women’s safety. She’s successfully lobbied for companies to flag domestic abuse spyware and works to protect vulnerable groups from online surveillance.
Areas of Expertise: Cybersecurity, Hacking, Infosec, Malware, Programming
Bio: Marcus Hutchins is a computer security researcher for cybersecurity firm Kryptos Logic.
I became aware of Marcus Hutchins through his wild WIRED profile. He is known for temporarily stopping the WannaCry ransomware attack and then getting arrested for hacking. A former NSA hacker described Marcus as a "reversing savant.” He tweets and blogs about information security.
Areas of Expertise: AI
Bio: Stuart J. Russell is a Professor of Computer Science at the University of California, Berkeley and Adjunct Professor of Neurological Surgery at the University of California, San Francisco. He founded and leads the Center for Human-Compatible Artificial Intelligence (CHAI) at UC Berkeley.
Russell co-authored the Artificial Intelligence: A Modern Approach, used in more than 1,400 universities in 128 countries. He also wrote Human Compatible: AI and the Problem of Control. Stuart is particularly skilled at making AI ethics issues understandable to us all.
Areas of Expertise: Government transparency, journalism, prisons
Bio: Kevin Gosztola is Managing Editor of Shadowproof and co-hosts a weekly podcast called Unauthorized Disclosure.
There is no accountability without transparency, and when it comes to the US federal government, that transparency is under attack. From state secrets to FISA courts to prosecutions of whistleblowers under the Espionage Act, keeping government accountable to the people has never been harder or more dangerous. Shadowproof is a great source for keeping up with the war on transparency.
Areas of Expertise: Machine learning and data mining
Bio: Pedro Domingos is a professor of computer science at the University of Washington in Seattle. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. He is a Fellow of the Association for the Advancement of Artificial Intelligence, and has received a Fulbright Scholarship, a Sloan Fellowship, the National Science Foundation’s CAREER Award, and numerous best paper awards. He received his Ph.D. from the University of California at Irvine and is the author or co-author of over 200 technical publications.
Pedro co-founded the International Machine Learning Society in 2001. His research spans a wide variety of topics in machine learning, artificial intelligence, and data science, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.
Areas of Expertise: AI, racial and gender bias, facial recognition technology
Bio: Joy Buolamwini is a "poet of code" who uses art and research to illuminate the social implications of artificial intelligence. She founded the Algorithmic Justice League to create a world with more ethical and inclusive technology. Her Featured TED Talk on algorithmic bias has over 1 million views. Her MIT Thesis methodology uncovered large racial and gender bias in AI services from companies like Microsoft, IBM, and Amazon. In late 2018 in partnership with the Georgetown Law Center on Privacy and Technology, Joy launched the Safe Face Pledge, the first agreement of its kind that prohibits the lethal application of facial analysis and recognition technology.
Joy's research has been covered in over 40 countries, and as a renowned international speaker she has championed the need for algorithmic justice at the World Economic Forum and the United Nations. She serves on the Global Tech Panel convened by the vice president of European Commission to advise world leaders and technology executives on ways to reduce the harms of A.I.