Publications

The following are selected publications from our researchers.


Cooperation, conflict, and transformative AI

Multi-agent systems

Show all

Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

Show all

Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

Strategic considerations

Show all

Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

Show all

Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

Decision theory

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Sorry, no publications matched your criteria.

Malevolence

Show all

Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

Ethics & meta-ethics

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Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

Prioritization & macrostrategy

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Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

AI Forecasting

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Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX

Other

Show all

Leskelä, Anni. Coalitions and compromise in multipolar AI scenarios. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Rational Crisis Bargaining. November 2019, S-risk Workshop.
Links | BibTeX
Althaus, David. Reducing risks from malevolent, technologically enhanced humans. November 2019, S-risk Workshop.
BibTeX
Sotala, Kaj. Why dissolving suffering seems like a tractable approach. November 2019, S-risk Workshop.
BibTeX
Clifton, Jesse. Open-source learning: A bargaining approach. October 2019, EAG London.
Links | BibTeX
Gloor, Lukas. History of s-risk research at EAF (with Q&A). May 2019, EAF Research Retreat.
BibTeX
Oesterheld, Caspar. Surrogate goals. May 2019, EAF Research Retreat.
BibTeX
Vinding, Magnus. The future of growth: near-zero growth rates. CLR Website, July 2017.
Links | BibTeX
Daniel, Max. An Overview of the AI Safety Landscape. November 2017, Workshop on Reliable Artificial Intelligence 2017.
Links | BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. November 2017, EAGxBerlin.
Links | BibTeX
Daniel, Max. Public one-on-one debate with Robin Hanson on risks and benefits of Artificial Intelligence. October 2017, University of Zurich.
BibTeX
Daniel, Max. S-risks: Why they are the worst existential risks, and how to prevent them. June 2017, EAG Boston.
Links | BibTeX
Daniel, Max. Moral threats: the most plausible route to dystopia?. April 2017, Future of Humanity Institute.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. January 2017, AI Safety Workshop in Mainz at a "Stipendiaten machen Programm" event of the German Academic Scholarship Foundation.
BibTeX
Oesterheld, Caspar. Backup Utility Functions: A Fail-Safe AI Technique. CLR Website, October 2016.
Links | BibTeX
Gloor, Lukas. Identifying Plausible Paths to Impact and their Strategic Implications. CLR Website, August 2016.
Links | BibTeX
Oesterheld, Caspar. Künstliche Intelligenz und Effektiver Altruismus. October 2016, EAGxBerlin.
Links | BibTeX
Gloor, Lukas; Althaus, David. Worst-case AI safety / backup goals. August 2016, EAG San Francisco.
BibTeX
Daniel, Max. Warum wir uns jetzt auf superintelligente Maschinen vorbereiten sollten. July 2016, German Scholarship Foundation Research Seminar.
BibTeX
Tomasik, Brian. Artificial Intelligence and Its Implications for Future Suffering. CLR Website, May 2014.
Links | BibTeX
Tomasik, Brian. International Cooperation vs. AI Arms Race. CLR Website, December 2013.
Links | BibTeX
Tomasik, Brian. Charity Cost-Effectiveness in an Uncertain World. CLR Website, October 2013.
Links | BibTeX
Tomasik, Brian. Against Wishful Thinking. CLR Website, April 2013.
Links | BibTeX
Tomasik, Brian. Risks of Astronomical Future Suffering. CLR Website, December 2011.
Links | BibTeX