Name: [Archive] Maria Gutierrez and Robert Wiblin on doing good through art (May 2016) by The 80,000 Hours Podcast with Rob Wiblin
Duration: 23 min 12 s
Description: Note that this interview was recorded before we were running a professional podcast. Summary and discussion: <a href="https://80000hours.org/2016/06/interview-with-maria-gutierrez-about-doing-good-through-art/?utm_campaign=podcast__maria_gutierrez&utm_source=80000+Hours+Podcast&utm_medium=podcast">https://80000hours.org/2016/06/interview-with-maria-gutierrez-about-doing-good-through-art/</a>

Note that this interview was recorded before we were running a professional podcast. Summary and discussion: <a href="https://80000hours.org/2016/06/interview-with-maria-gutierrez-about-doing-good-through-art/?utm_campaign=podcast__maria_gutierrez&utm_source=80000+Hours+Podcast&utm_medium=podcast">https://80000hours.org/2016/06/interview-with-maria-gutierrez-about-doing-good-through-art/</a>

[Archive] Maria Gutierrez and Robert Wiblin on doing good through art (May 2016)

If you want to improve the world as much as possible, what should you do with your career? Should you become a doctor, an engineer or a politician? Should you try to end global poverty, climate change, or international conflict? These are the questions that the research group, 80,000 Hours tries to answer. They try to figure out how individuals can set themselves up to help as many people as possible in as big a way as possible.

To learn more about their research, Ariel invited Rob Wiblin and Brenton Mayer of 80,000 Hours to the FLI podcast. In this podcast we discuss "earning to give", building career capital, the most effective ways for individuals to help solve the world's most pressing problems -- including artificial intelligence, nuclear weapons, biotechnology and climate change. If you're interested in tackling these problems, or simply want to learn more about them, this podcast is the perfect place to start.

80,000 Hours with Rob Wiblin and Brenton Mayer

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How are we to make progress on AI alignment given moral uncertainty?  What are the ideal ways of resolving conflicting value systems and views of morality among persons? How ought we to go about AI alignment given that we are unsure about our normative and metaethical theories? How should preferences be aggregated and persons idealized in the context of our uncertainty? 

Moral Uncertainty and the Path to AI Alignment with William MacAskill is the fifth podcast in the new AI Alignment series, hosted by Lucas Perry. For those of you that are new, this series will be covering and exploring the AI alignment problem across a large variety of domains, reflecting the fundamentally interdisciplinary nature of AI alignment. Broadly, we will be having discussions with technical and non-technical researchers across areas such as machine learning, AI safety, governance, coordination, ethics, philosophy, and psychology as they pertain to the project of creating beneficial AI. If this sounds interesting to you, we hope that you will join in the conversations by following us or subscribing to our podcasts on Youtube, SoundCloud, or your preferred podcast site/application.

If you're interested in exploring the interdisciplinary nature of AI alignment, we suggest you take a look here at a preliminary landscape which begins to map this space.

In this podcast, Lucas spoke with William MacAskill. Will is a professor of philosophy at the University of Oxford and is a co-founder of the Center for Effective Altruism, Giving What We Can, and 80,000 Hours. Will helped to create the effective altruism movement and his writing is mainly focused on issues of normative and decision theoretic uncertainty, as well as general issues in ethics.

Topics discussed in this episode include:

-Will’s current normative and metaethical credences
-The value of moral information and moral philosophy
-A taxonomy of the AI alignment problem
-How we ought to practice AI alignment given moral uncertainty
-Moral uncertainty in preference aggregation
-Moral uncertainty in deciding where we ought to be going as a society
-Idealizing persons and their preferences
-The most neglected portion of AI alignment

AIAP: Moral Uncertainty and the Path to AI Alignment with William MacAskill

New episodes no longer on SoundCloud, please go subscribe on a podcast app or here: https://80000hours.org/podcast/

[Archive] Maria Gutierrez and Robert Wiblin on doing good through art (May 2016)

The 80,000 Hours Podcast with Rob Wiblin

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