Read the full transcript here.

Are existential risks from AI fundamentally different from those posed by previous technologies such as nuclear weapons? How can global cooperation overcome the challenges posed by national interests? What mechanisms might enable effective governance of technologies that transcend borders? How do competitive pressures drive harmful behaviors even when they threaten long-term stability? How might we balance innovation with precaution in rapidly advancing fields? Is slow progress the key to dodging hidden catastrophes in technological advancement? Is it possible to design systems that reward cooperation over defection on a global scale? How do we ensure emerging technologies uplift humanity rather than undermine it? What are the ethics of delegating decision-making to non-human intelligences? Can future generations be safeguarded by the choices we make today?

Kristian is an entrepreneur and author of the Darwinian Trap, and has contributed to policy and standards with AI and climate change. In the climate sector, he contributed to global carbon accounting standards, represented Sweden at the UN Climate Conference and founded the carbon accounting software Normative.io. His work in AI governance includes contributions to policies in the EU and UN and authoring an influential report on AI Assurance Tech. Currently, as the co-founder and CEO of Lucid Computing, he develops technology to monitor the location of export controlled AI chips. He can be reached via email at kristian@lucidcomputing.ai.

Thanks to a listener who pointed us to this 2017 report that may be responsible for some confounding bias around the idea that only 100 companies are reponsible for the majority of emissions.

Links:

Kristian's book: The Darwinian Trap
Kristian's company: Lucid Computing

Staff

Spencer Greenberg — Host + Director
Ryan Kessler — Producer + Technical Lead
Uri Bram — Factotum
WeAmplify — Transcriptionists
Igor Scaldini — Marketing Consultant

Music

Affiliates

[Read more]

How to Build and Optimize AI Research Agents

The Data Exchange with Ben Lorica

Model Choices for Retrieval and Generation

The AI-powered Podcast Player