Nestor Maslej is a Research Manager at Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). In this position, he manages the AI Index and Global AI Vibrancy Tool. In developing tools that track the advancement of AI, Nestor hopes to make the AI space more accessible to policymakers, business leaders and the lay public.
Nestor’s work on AI, namely the AI Index, has been cited in newspapers across the globe including: The New York Times, Financial Times, Bloomberg, The Washington Post, The Guardian, Vox, Al Jazeera, Fortune, Forbes, San Francisco Chronicle, Politico, The Register, Der Spiegel, The Verge, IEEE Spectrum, VentureBeat and more. Nestor’s publications have likewise informed AI policymaking worldwide, having been referenced by policymakers in countries such as the United States, Canada, Germany, the United Kingdom, China, Japan as well as Korea.
Nestor also speaks frequently about trends in AI, having briefed high-level US policymakers, testified in front of both the Canadian and Italian parliaments and presented to CEOs from a plethora of industries. Nestor is also a fellow at the Centre for International Governance Innovation (CIGI) where he regularly writes opinion pieces on developments in AI. In his spare time, when he is not musing about AI, Nestor likes to hike, ski, cook and read.
Prior to joining HAI, Nestor worked in Toronto as an analyst in several startups. He graduated from the University of Oxford in 2021 with an MPhil in Comparative Government (Distinction), and Harvard College in 2017 with an A.B. in Social Studies (Magna Cum Laude, PBK).
Artificial intelligence (AI) has quickly become one of the most important topics of the decade.Using any large language model like ChatGPT or Claude gives a sense of just how powerful and groundbreaking new AI technologies can be. Even though the last few years have seen the release of many groundbreaking AI models, the pace of technological developments continues unabated. Every week brings the launch of a new AI model and potentially exciting new applications.
AI has the potential to radically transform society. It has already accelerated drug discovery and reshaped the labor market. But AI also poses existential threats: many leading computer scientists have warned about the possibility of AI exceeding human control.Whether you are a businessperson, policymaker, or regular civilian, understanding AI is now more important than ever. This lecture offers a bird's-eye perspective on recent AI developments through various lenses. Attendees can expect to learn about key trends in AI technology and what those trends mean.
The presentation will cover AI progress in six key areas: (1) research and development, (2) technical capabilities and limitations, (3) economic impact, (4) ethics, (5)policy responses, and (6) public opinion.Attendees can expect to develop a strong foundational understanding of AI's recent trends. This talk suits diverse audiences interested in deploying AI in business, exploring regulatory implications, or simply comprehending the most significant technology of the 21st century.
In 2022, AI announced its arrival to the world with the launch of numerous generative models like ChatGPT, DALL-E 2, and PaLM. In 2023 came the regulatory response: recently policymakers worldwide began passing new regulations to address this new, ground-breaking technology.
This lecture provides an in-depth look at the regulatory landscape surrounding AI. It highlights the unique challenges AI poses and why these challenges require varied regulations. The talk explores the current state of AI regulations globally and in the United States, with a focus on theUS. It examines how AI is currently regulated, where regulation is still lacking, and what future oversight could entail.
This more technical talk suits both policymakers and businesspeople. Policymakers can better grasp AI and existing regulations, which can enable them to craft better regulations moving forward. Businesspeople keen to deploy AI can learn which regulations demand priority compliance. Overall, attendees will gain insights into the complex regulatory patchwork taking shape around AI worldwide and particularly in the US.
In 2021, an AI multi-modal model called CLIP was given an image of astronaut Eileen Collins in her spacesuit and asked to generate a caption. It produced: "A photo of a smiling housewife, in an orange jumpsuit in front of an American flag"; High-profile AI systems like ChatGPT have arrived amid much fanfare. But equally important are the ethical issues plaguing them. Text-to-image systems like DALL-E and Stable Diffusion typically render CEOs as white males in suits when prompted. ChatGPT can be tricked into generating instructions for making bombs or napalm. As AI models proliferate, understanding their capabilities and ethical problems is crucial.
This lecture delves into AI's ethical quandaries. It begins by exploring challenges like bias, jailbreaking, and hallucination - what they are and their severity. Next, it examines governmental and corporate efforts to resolve these issues. It concludes by discussing the implications for business leaders looking to adopt AI, and how they can integrate it effectively and safely.
Perfect for anyone seeking to comprehend AI's ethical dimensions, this talk also benefits managers eager to deploy AI while avoiding its pitfalls. Attendees will gain a nuanced grasp ofAI's current ethical limitations and how conscientious development can help overcome them.