Authors: Gavin Leech, Simson Garfinkel, Misha Yagudin, Alexander Briand, Aleksandr Zhuravlev

Published on: February 06, 2024

Impact Score: 8.9

Arxiv code: Arxiv:2402.04464

Summary

• What is new: The paper identifies and systematically organizes the ‘hard problems’ facing AI development up to 2050, distinguishing this work by its holistic approach and future-oriented analysis.
• Why this is important: The challenges include developing AI’s general capabilities, ensuring AI systems align with human goals, and managing AI’s impact on society, economy, and geopolitics.
• What the research proposes: The paper suggests focusing research and policy efforts on these identified ‘hard problems’ and outlines potential ways forward for each challenge, emphasizing interdisciplinary collaboration.
• Results: While specific solutions are not presented, the paper offers a structured framework for addressing AI’s future challenges, highlighting the importance of targeted research and policy interventions.

Technical Details

Technological frameworks used: Interdisciplinary research framework

Models used: Not specifically mentioned as the paper is a literature review focusing on problem identification and conceptual solutions.

Data used: Extensive literature review through January 2023

Potential Impact

AI technology providers, policy-making bodies, educational institutions, and potentially all sectors affected by AI deployment and governance (e.g., healthcare, automotive, finance, government).

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