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The Malicious Use Of Artificial Intelligence: Forecasting, Prevention, And Mitigation.pdf

1802.07228.pdf
Preview of The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
🔗 Source: arxiv.org
📊 Size: 1.37 MB
📄 Pages: 101 pages
⬇️ Downloads: 25

Summary

Key findings and recommendations include:

- Rapid Growth of AI Capabilities: AI and machine learning are advancing at an unprecedented rate, with numerous beneficial applications across sectors. However, less attention has been given to their malicious uses.

- Evolving Threat Landscape: As AI capabilities increase, so does the potential for both existing and new security threats. Lower costs and scalability enable a broader range of actors to conduct attacks, targeting a wider array of entities.

- Characteristics of AI-Enabled Threats: Attacks facilitated by AI are expected to be particularly effective, precise, hard to attribute, and likely to exploit vulnerabilities in AI systems themselves.

- Recommendations for Mitigation:
1. Policymakers should collaborate with technical experts to anticipate, prevent, and mitigate potential malicious uses of AI.
2. AI researchers and engineers must consider the dual-use nature of their work, prioritizing misuse prevention and proactively engaging relevant stakeholders when harmful applications are foreseeable.
3. Best practices from established areas like computer security should be adapted for AI research.
4. Stakeholder engagement should be expanded to include diverse domain experts in discussions about these challenges.

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Description

This 2018 report by diverse experts from Oxford, Cambridge, OpenAI, and other institutions explores the potential malicious uses of artificial intelligence, focusing on forecasting, prevention, and mitigation strategies to safeguard humanity's future.

Technical Information

  • File Format: PDF
  • File Size: 1.37 MB
  • Pages: 101
  • Language: EN
  • Total Downloads: 25
  • Last Updated: 3 weeks ago

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