Azeem Azhar's Exponential View

Leading expert on AI governance, Joanna Bryson, discusses the concept of intelligence and AI, the benefits and dangers of developing AI, and the challenge of explainability in AI systems.

Artificial Intelligence (AI) is on every business leader’s agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today’s pick is Azeem’s conversation with Meredith Whittaker, president of the Signal Foundation. Meredith is a co-founder and chief advisor of the AI Now Institute, an independent research group looking at the social impact of artificial intelligence. They discuss: How discriminatory culture influences the values embedded in AI. Whether ethics officers can actually influence firms and their products. Why responsible AI design must include recognition of the shadow workforce helping to create it.

Dr. Rumman Chowdhury, a pioneer in applied algorithmic ethics, discusses assessing and diagnosing bias in 'black box' algorithms, top-down organizational change necessary for responsible AI, and the emerging field of 'Responsible Machine Learning Operations'.

Leaders face the challenge of making future-proof decisions in the age of exponential technologies. A new podcast explores new perspectives on our collective future. Guests like OpenAI CEO Sam Altman and Silicon Valley investor Vinod Khosla discuss topics like owning thoughts and reducing global inequality with AI.

In his brief commentary, Azeem Azhar discusses the increasing complexity and capabilities of large language models (LLMs) and the transformative potential they hold. Just as the Copernican Revolution forced us to reassess our understanding of the universe and led to numerous societal and scientific changes, Azeem proposes that rapid advancements in AI could lead to a similar paradigm shift that challenges established norms and systems. @azeem @exponentialview Further resources: Exponential LLMs and the Copernican Moment, Azeem Azhar, 2023

Azeem Azhar discusses the potential of large-language models to revolutionize the web, serving as the successor to web 2.0. He explores the challenges of web 3.0 and highlights the benefits and new behavioral interactions that large-language models can bring to the internet. He also delves into the future of the web, examining the possibility of a single dominant winner or fragmented services driven by large language models. concerns about centralized models, the importance of cultural heritage and privacy-safe on-device models, and the prediction of a variety of systems with slight differences.

In his brief commentary, Azeem Azhar shares his outlook on how artificial intelligence could change the labor market, drawing on research published by Goldman Sachs, titled “The Potentially Large Effect of Artificial Intelligence on Economic Growth.” The paper suggests a positive impact on economic growth, alongside a shift to automation that could affect two-thirds of US occupations. Twitter: @azeem @exponentialview Further resources: The Potentially Large Effect of Artificial Intelligence on Economic Growth, Goldman Sachs, March 2023 After AI, Where Will the Jobs Come From? Azeem Azhar 2023 The Future of AI in the Workplace: A Survey of American Managers, 2023

Drawing on Carlota Perez’s framework, Azeem Azhar considers whether large language models (LLMs), such as OpenAI’s GPT-4, will drive a paradigm shift across our economies. His discussion touches on LLMs’ wide applications, their reliance on affordable computation and digital data, and their compatibility with existing and potential future digital infrastructures. Twitter: @azeem @exponentialview Further resources: LLMs and Technological Revolutions, Azeem Azhar 2023 Technological Revolutions and Techno-Economic Paradigms, Carlota Perez, 2010

Artificial intelligence (AI) is dominating the headlines, but it’s not a new topic here on Exponential View. This week and next, Azeem Azhar shares his favorite conversations with AI pioneers. Their work and insights are more relevant than ever. For Jürgen Schmidhuber, a recognized pioneer in AI, artificial intelligence is much more than another technological revolution. He sees it as the opportunity to transcend humanity and biology. In this conversation, taped in 2019, Jürgen and Azeem Azhar discuss what the next thirty years of AI will look like. They also discussed: The role of Long Short-Term Memory architecture in recent AI breakthroughs. Why the next AI wave will see machines actively shaping the data that they perceive. The second- and third-order consequences of bringing these more sophisticated artificial neural networks into our world. Jürgen Schmidhuber @Azeem Exponential View

Artificial intelligence (AI) is dominating the headlines, but it’s not a new topic here on Exponential View. Azeem Azhar shares his favorite conversations with AI experts. Their work and insights are more relevant than ever. Gary Marcus is well known as a deep learning critic. A neuroscientist, founder, and the author of Rebooting AI: Building Artificial Intelligence We Can Trust, Marcus believes that researchers need to move past deep learning in order to make true advances in machine intelligence. In 2019, he joined Azeem Azhar to discuss why, how, and when we can expect progress. They also discussed: What newborn ibexes can teach us about intelligence and learning. How deep learning promulgates the gap between big companies and startups. What we need for a breakthrough in AI. Further reading: How to Build Artificial Intelligence We Can Trust, Gary Marcus, September 6, 2019 Deep Learning: A Critical Appraisal, Gary Marcus, January 2, 2018 @garymarcus @azeem Exponential View