Everyone is talking about ChatGPT, but there are thousands of AI applications available online. Visit There's an AI For That, to explore a site that uses AI to collect AI tools into a searchable database that updates daily!
Welcome! This research guide provides an overview of Artificial Intelligence (AI) including popular tools sorted by purpose, definitions of common terms, historical timeline, people to know, policies, ethics, news, videos to get you started, library books, databases, and even an intro to playing with AI. AI may seem overwhelming at first, but remember, you are probably already using AI in your everyday life--navigation assistance while driving, facial recognition to unlock your phone, editing suggestions in documents or emails, personal digital assistants like Alexa, etc. Use this guide to build your background knowledge on AI and to grow your understanding of related ethical issues, so that you can make informed decisions about when and how to use AI tools.
This image is widely used online. One source: Deep Learning Analytics
Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence and former director of the Stanford AI Lab, Dr. Li is frequently called "Godmother of AI" because of her long history in the field. Her past work included the invention of ImageNet and ImageNet Challenge which served as a large dataset and benchmarking effort that made current advancements in deep learning and AI possible. She co-founded and presently chairs the non-profit AI4ALL that aims to increase participation and opportunity in AI education for diverse learners from under-represented backgrounds.
Chief Executive Officer (CEO) of OpenAI, the non-profit and associated company that developed ChatGPT and opened it for free public use on Nov. 30, 2022. He was one of the original founders of the OpenAI research laboratory, along with other high-profile people in the technology industry including Greg Brockman, Reid Hoffman, Jessica Livingston, Peter Thiel, and Elon Musk.
Earned her PhD in computer science from Massachusetts Institute of Technology (MIT) and founded the advocacy nonprofit Algorithmic Justice League to raise awareness and promote strategies for mitigating algorithmic bias and potential harms of AI, especially involving facial recognition software. Learn more about her work by watching the documentary Coded Bias or reading her book Unmasking AI: My Mission to Protect What Is Human in a World of Machines.
Founder of DeepLearningAI and founder and CEO of LandingAI. He also teaches computer science as an adjunct professor for Stanford University. He is recognized as a leader in open, global education and wants to make AI education and training available to all companies and individuals seeking it.
French computer scientist, machine learning researcher, and faculty member at New York University, often referred to as a "Godfather of AI" along with Geoffrey Hinton and Yoshua Bengio. He serves as a Vice President and Chief AI Scientist at Meta, and formerly worked as Facebook's Director of AI Research. Much of his research involved convolutional neural networks.
Chief Ethics Scientist at Hugging Face, a machine learning company. Her research and past work include AI evaluation and ethics, Bayesian modeling and information extraction, natural language generation, computer vision-to-language generation, and assistive technologies more broadly. Before Hugging Face, she worked as a Staff Research Scientist at Google AI and founded Google's AI Ethics group.
Emeritus Distinguished Professor of Computer Science at the University of Toronto and Chief Scientific Advisor to the Vector Institute of Artificial Intelligence. His focus has been artificial neural networks. He stepped down from a role at Google as a Vice President and Engineering Fellow in late spring 2023 and has expressed concerns about progressing too quickly with AI.
Professor of Electrical Engineering and Director of the Computer Science & Artificial Intelligence Lab (CSAIL) at the Massachusetts Institute of Technology (MIT). Her current research projects include self-driving vehicles for on-demand mobility, robot development with soft materials, and rapid robot development.
Computer scientist who works at Deep Mind and is known for his work in artificial neural networks, machine learning, and deep learning. His main contribution to the field was inventing generative adversarial networks (GANs) to allow computers to create images. This technology underlies the creation of deep fakes, although Goodfellow got into the work through his interest in improving cybersecurity.
Founder of Distributed AI Research (DAIR) Institute and former co-lead of Google's Ethical AI Research Team who earned her PhD from Stanford University. She also did postdoctoral research for Microsoft Research on their Fairness, Accountability, Transparency, and Ethics (FATE) in AI group. DAIR currently engages in AI research that is intentionally disconnected from big tech companies.
Professor of Computer Science at the University of California, Berkeley, and Honorary Fellow at Wadworth College, Oxford, in the UK, he works with students at the Berkeley AI Intelligence Research (BAIR) Lab. In 2023, he was named to a Time100 AI list by Time, LLC, as one of the most influential people in the field. His co-authored text Artificial Intelligence: A Modern Approach, written with Peter Norvig and originally published in 1994/1995 as a breakthrough resource in the field, is now in its 4th edition, which was released in 2020.
Current Chief Information Officer (CIO) for the Memorial Sloan Kettering Cancer Center and Executive Director of CIOs Without Borders and former CIO of the United Nations. She advocates at the global level for AI use to benefit humanity and also for increased education and employment opportunities for girls and women in STEM.
The attached document includes the four options provided to faculty by the Office of the Provost in late August 2023.
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This guide was created by Kimberly S. Grotewold, Education Librarian and Rachel Pecotte, Business Librarian.
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