Azeem Azhar's Exponential View

Latest Episodes:

Azeem’s Picks: How to Practice Responsible AI with Dr. Rumman Chowdhury Nov 01, 2023

Show notes

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 Dr. Rumman Chowdhury, a pioneer in the field of applied algorithmic ethics. She runs Parity Consulting, the Parity Responsible Innovation Fund, and she’s a Responsible AI Fellow at the Berkman Klein Center for Internet & Society at Harvard University.

They discuss:

How you can assess and diagnose bias in unexplainable “black box” algorithms.
Why responsible AI demands top-down organizational change, implementing new metrics, and systems of redress.
More details on the emerging field of “Responsible Machine Learning Operations”.

Further resources:

TIME100AI: Rumman Chowdhury
Building an AI We Can Trust with Anthropic’s Dario Amodei (Exponential View, 2023)
“‘I do not think ethical surveillance can exist’: Rumman Chowdhury on accountability in AI” (The Guardian, May 2023)

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Introducing Exponentially with Azeem Azhar Sep 07, 2023

Show notes

Never before has it been harder for leaders to make sense of what’s going on in the world. As exponential technologies like artificial intelligence (AI) march on, the ability to make future-proof decisions is all the more important for leaders.

Azeem Azhar’s new TV show and podcast, Exponentially with Azeem Azhar (created in partnership with Bloomberg Originals), goes beyond mainstream conversations about technology to explore new ways of thinking about our collective future.

In eight episodes, released weekly starting September 6, Azeem speaks with OpenAI CEO Sam Altman, co-founder and CEO of Anthropic Dario Amodei, and legendary Silicon Valley investor Vinod Khosla, among others.

They discuss questions such as:

What does it mean to legally own your thoughts, and why may we want that to happen soon?
Could AI reduce global inequality by boosting productivity in the Global South?
What assumptions do we need to change about conflict to avoid a second Cold War?

@azeem
@exponentialview

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Azeem on AI: What Can the Copernican Revolution Teach Us about the Future of AI? May 26, 2023

Show notes

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

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Azeem on AI: Are Large Language Models the Future of the Web? May 24, 2023

Show notes

In his brief commentary, Azeem Azhar lays out why the future of the Web is underpinned by AI, and what this means for the traditional business model of the internet. He considers whether there will be a single dominant player, like Google in Web 2.0, or a more fragmented landscape, as in social media?

@azeem
@exponentialview

Further resources:

AI is the Real Web3, Azeem Azhar, 2023

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Azeem on AI: Where Will the Jobs Come from After AI? May 19, 2023

Show notes

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

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Azeem on AI: Will Large Language Models Reshape Our Economies? May 17, 2023

Show notes

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

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Azeem’s Picks: AI’s Near Future with Jürgen Schmidhuber May 12, 2023

Show notes

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

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Azeem’s Picks: Beyond Deep Learning (with Gary Marcus) May 10, 2023

Show notes

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: