Before AGI

As AI continues to permeate various aspects of society, its impact on decision-making, bias, and future technological developments is complex. How can we navigate the challenges posed by AI, particularly when it comes to fairness and bias in algorithms? What insights can be drawn from the intersection of economics, computer science, and behavioral studies to guide the responsible development and use of AI?

In this episode, Sendhil Mullainathan, a prominent economist and professor, delves into these pressing issues. He shares his journey from computer science to behavioral economics and discusses the role of AI in shaping the future of decision-making and societal structures. Sendhil provides a nuanced view of algorithmic bias, its origins, and the challenges in mitigating it. He also explores the potential and pitfalls of AI in healthcare and policymaking, offering insights into how we can harness AI for the greater good while being mindful of its limitations.

0:00 - Start

1:51 - Introducing Sendhil

14:20 - Algorithmic bias

29:20 - Handling Bias

41:57 - AI and Decision Making

57:01 - AI in our Future

1:02:29 - Conclusion and the last question

AI technology is transforming the world, raising crucial questions about governance, regulation, and societal impact. What measures should governments adopt to regulate AI effectively? How can academic institutions contribute to this development? 

Luis Videgaray is a professor at MIT and the director of the MIT AI Policy for the World Project. Previously, he also served as the Minister of Finance and the Minister of Foreign Affairs in the Mexican Government. In this episode, Luis shares his journey and insights on the role of governments in regulating and utilizing AI. He also covers the evolution of AI policy, the geopolitical landscape, and the future of AI regulation.  

3:47 - Luis’ time in the government 

7:12 - AI in the past 

20:19 - Regulation of AI 

43:13 - Governments using AI 

51:03 - Geopolitics of AI 

1:11:31 - Luis at MIT 

1:16:50 - Luis’ perspectives on AI 

1:25:28 - Conclusion and the last question

Governments are playing a crucial role in ensuring the safe and ethical deployment of AI technologies, protecting citizens while fostering innovation. What steps can policymakers take to safeguard our future? How can we, as citizens, contribute to the conversation and advocate for beneficial AI practices?

Anna Makanju, VP of Global Affairs at OpenAI, has extensive experience in national security and foreign policy roles across the U.S. government, UN, NATO, and Facebook. In this episode, Anna discusses her global tour with Sam Altman, her journey to her current role, and the steps governments can take to ensure a safe AI future.

3:18 - Anna and OpenAI’s goals

8:23 - Sam’s tour and government's role

19:25 - AI and the government

38:48 - AI and the military

51:25 - Anna’s time in the government

55:52 - Geopolitics of AI

1:04:28 - AI safety and the future

1:14:50 - Conclusion and the last question

The rapid advancement of AI technology presents both opportunities and challenges. As AI becomes more integrated into various aspects of life, how can companies ensure that these technologies are used innovatively and ethically? What measures can be taken to navigate potential pitfalls and enhance human connections rather than causing harm?

Reid Hoffman, Co-founder of Inflection AI, Co-founder and executive chairman of LinkedIn, and Founding investor and former board member at OpenAI has recently used AI in innovative ways. In this episode, Reid talks about his experience doing an interview of his AI digital twin, his time on the board of OpenAI, and the potential to integrate AI into our own lives in interesting ways.

3:11 - Digital twin

9:07 - Innovative ways to engage with AI

26:05 - Different perspectives on AI

28:41 - Reid’s time with OpenAI

36:00 - Why Inflection?

47:56 - Future of AI

1:01:08 Board dynamics

1:10:48 - World stage for AI

1:39:19 - Conclusion and the last question

Recent developments of AI offer an opportunity to transform traditional educational systems through tools that provide personalized learning and equal access to quality education. As we advance in our understanding of AI and its integration into daily life, how can we leverage these tools to dismantle educational barriers? What would a safe and beneficial AI education tool look like, and how should it be implemented to benefit everyone?

Sal Khan, an advocate for educational access and the founder of Khan Academy, has dedicated significant effort to this challenge. In this episode, Sal shares his personal journey with AI and elucidates how it can revolutionize educational access, support teachers, and inspire students. He discusses Khan Academy’s new AI tool, “Khanmigo,” and its potential to transform learning for the better.

2:35 - Pre-ChatGPT Khanmigo

14:13 - Sal’s journey with AI

21:09 - AI’s effects on our learning and thinking

38:33 - AI and human relationships

44:01 - Envisioning future AI use

47:41 - Economics of education

56:39 - Standardized testing

1:02:10 - Societal impacts of AI

1:09:48 - Future of AI

1:13:22 - Conclusion and the last question

While the rapid development of AI technology promises unprecedented productivity gains and innovations, concerns of job displacement and increasing inequality persist. How can we ensure AI complements human labor rather than replacing it? What measures can we take to prevent a dystopian AI future?

Erik Brynjolfsson is a professor at Stanford University and has pioneered research on the economics of information technology and AI. In this episode, Erik discusses the potential for AI to enhance job productivity, complement our workforce, and boost economic growth at scales comparable to the Industrial Revolution while also exploring potential negative futures and strategies to avoid them.

(03:16) Imagining the future

(09:41) Impacts on Productivity and Labor

(21:14) GPTs are GPTs!

(31:02) Workhelix

(32:07) Self Driving Cars

(36:25) AI Helping Innovation

(38:02) Negative Impacts

(38:39) Historical Context and Economic Concerns

(42:56) AI's Impact on Job Markets and Productivity

(48:22) Shared Benefits

(49:46) Pessimism and Belief about AI

(01:03:59) Strategies for a Positive AI Future

(01:12:17) Last Question