Search Results for author: Markus Anderljung

Found 10 papers, 0 papers with code

Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework

no code implementations15 Nov 2023 Markus Anderljung, Everett Thornton Smith, Joe O'Brien, Lisa Soder, Benjamin Bucknall, Emma Bluemke, Jonas Schuett, Robert Trager, Lacey Strahm, Rumman Chowdhury

With the increasing integration of frontier large language models (LLMs) into society and the economy, decisions related to their training, deployment, and use have far-reaching implications.

Frontier AI Regulation: Managing Emerging Risks to Public Safety

no code implementations6 Jul 2023 Markus Anderljung, Joslyn Barnhart, Anton Korinek, Jade Leung, Cullen O'Keefe, Jess Whittlestone, Shahar Avin, Miles Brundage, Justin Bullock, Duncan Cass-Beggs, Ben Chang, Tantum Collins, Tim Fist, Gillian Hadfield, Alan Hayes, Lewis Ho, Sara Hooker, Eric Horvitz, Noam Kolt, Jonas Schuett, Yonadav Shavit, Divya Siddarth, Robert Trager, Kevin Wolf

To address these challenges, at least three building blocks for the regulation of frontier models are needed: (1) standard-setting processes to identify appropriate requirements for frontier AI developers, (2) registration and reporting requirements to provide regulators with visibility into frontier AI development processes, and (3) mechanisms to ensure compliance with safety standards for the development and deployment of frontier AI models.

Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted?

no code implementations16 Mar 2023 Markus Anderljung, Julian Hazell

We also contend that some restrictions on non-AI capabilities needed to cause harm will be required.

The Brussels Effect and Artificial Intelligence: How EU regulation will impact the global AI market

no code implementations23 Aug 2022 Charlotte Siegmann, Markus Anderljung

We consider both the possibility that the EU's AI regulation will incentivise changes in products offered in non-EU countries (a de facto Brussels Effect) and the possibility it will influence regulation adopted by other jurisdictions (a de jure Brussels Effect).

Institutionalising Ethics in AI through Broader Impact Requirements

no code implementations30 May 2021 Carina Prunkl, Carolyn Ashurst, Markus Anderljung, Helena Webb, Jan Leike, Allan Dafoe

In 2020, the Conference on Neural Information Processing Systems (NeurIPS) introduced a requirement for submitting authors to include a statement on the broader societal impacts of their research.


Social and Governance Implications of Improved Data Efficiency

no code implementations14 Jan 2020 Aaron D. Tucker, Markus Anderljung, Allan Dafoe

Many researchers work on improving the data efficiency of machine learning.

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