3 Ways to Keep AI on Our Side: AI Researchers can Draw Lessons from Cybersecurity, Robotics, and Astrobiology

As Artificial Intelligence reshapes society, our traditional safety nets and ethical frameworks are being put to the test. How can we make sure that AI remains a force for good? • Here we bring you three fresh visions for safer AI. In the first essay, security expert Bruce Schneier and data scientist Nathan E. Sanders explore how AI's “weird” error patterns create a need for innovative security measures that go beyond methods honed on human mistakes. Dariusz Jemielniak, an authority on Internet culture and technology, argues that the classic robot ethics embodied in Isaac Asimov's famous rules of robotics need an update to counterbalance AI deception and a world of deepfakes. And in the final essay, the AI researchers Edmon Begoli and Amir Sadovnik suggest taking a page from the search for intelligent life in the stars; they propose rigorous standards for detecting the possible emergence of human-level AI intelligence. As AI advances with breakneck speed, these cross-disciplinary strategies may help us keep our hands on the reins.→

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Publication Details

Journal
IEEE Spectrum
Published
2025-04-01
DOI
https://doi.org/10.1109/mspec.2025.10960476
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

3 Ways to Keep AI on Our Side: AI Researchers can Draw Lessons from Cybersecurity, Robotics, and Astrobiology

Dariusz Jemielniak, Nathan Sanders, Edmon Begoli, Bruce Schneier et al.
1 citations
IEEE Spectrum
Ethics and Social Impacts of AI
2.37
article

3 Ways to Keep AI on Our Side: AI Researchers can Draw Lessons from Cybersecurity, Robotics, and Astrobiology

Dariusz Jemielniak, Nathan Sanders, Edmon Begoli, Bruce Schneier, Amir Sadovnik
article en
1 citations

Abstract

As Artificial Intelligence reshapes society, our traditional safety nets and ethical frameworks are being put to the test. How can we make sure that AI remains a force for good? • Here we bring you three fresh visions for safer AI. In the first essay, security expert Bruce Schneier and data scientist Nathan E. Sanders explore how AI's “weird” error patterns create a need for innovative security measures that go beyond methods honed on human mistakes. Dariusz Jemielniak, an authority on Internet culture and technology, argues that the classic robot ethics embodied in Isaac Asimov's famous rules of robotics need an update to counterbalance AI deception and a world of deepfakes. And in the final essay, the AI researchers Edmon Begoli and Amir Sadovnik suggest taking a page from the search for intelligent life in the stars; they propose rigorous standards for detecting the possible emergence of human-level AI intelligence. As AI advances with breakneck speed, these cross-disciplinary strategies may help us keep our hands on the reins.→

IEEE SpectrumVol. 62(4)
Openalex Percentile: Top 13%
Ethics and Social Impacts of AI
2.37
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