The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Fuente:
arXiv
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| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2018
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| _version_ | 1866910720955777024 |
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| author | Brundage, Miles Avin, Shahar Clark, Jack Toner, Helen Eckersley, Peter Garfinkel, Ben Dafoe, Allan Scharre, Paul Zeitzoff, Thomas Filar, Bobby Anderson, Hyrum Roff, Heather Allen, Gregory C. Steinhardt, Jacob Flynn, Carrick hÉigeartaigh, Seán Ó Beard, SJ Belfield, Haydn Farquhar, Sebastian Lyle, Clare Crootof, Rebecca Evans, Owain Page, Michael Bryson, Joanna Yampolskiy, Roman Amodei, Dario |
| author_facet | Brundage, Miles Avin, Shahar Clark, Jack Toner, Helen Eckersley, Peter Garfinkel, Ben Dafoe, Allan Scharre, Paul Zeitzoff, Thomas Filar, Bobby Anderson, Hyrum Roff, Heather Allen, Gregory C. Steinhardt, Jacob Flynn, Carrick hÉigeartaigh, Seán Ó Beard, SJ Belfield, Haydn Farquhar, Sebastian Lyle, Clare Crootof, Rebecca Evans, Owain Page, Michael Bryson, Joanna Yampolskiy, Roman Amodei, Dario |
| contents | This report surveys the landscape of potential security threats from malicious uses of AI, and proposes ways to better forecast, prevent, and mitigate these threats. After analyzing the ways in which AI may influence the threat landscape in the digital, physical, and political domains, we make four high-level recommendations for AI researchers and other stakeholders. We also suggest several promising areas for further research that could expand the portfolio of defenses, or make attacks less effective or harder to execute. Finally, we discuss, but do not conclusively resolve, the long-term equilibrium of attackers and defenders. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1802_07228 |
| institution | arXiv |
| publishDate | 2018 |
| record_format | arxiv |
| spellingShingle | The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Brundage, Miles Avin, Shahar Clark, Jack Toner, Helen Eckersley, Peter Garfinkel, Ben Dafoe, Allan Scharre, Paul Zeitzoff, Thomas Filar, Bobby Anderson, Hyrum Roff, Heather Allen, Gregory C. Steinhardt, Jacob Flynn, Carrick hÉigeartaigh, Seán Ó Beard, SJ Belfield, Haydn Farquhar, Sebastian Lyle, Clare Crootof, Rebecca Evans, Owain Page, Michael Bryson, Joanna Yampolskiy, Roman Amodei, Dario Artificial Intelligence Cryptography and Security Computers and Society This report surveys the landscape of potential security threats from malicious uses of AI, and proposes ways to better forecast, prevent, and mitigate these threats. After analyzing the ways in which AI may influence the threat landscape in the digital, physical, and political domains, we make four high-level recommendations for AI researchers and other stakeholders. We also suggest several promising areas for further research that could expand the portfolio of defenses, or make attacks less effective or harder to execute. Finally, we discuss, but do not conclusively resolve, the long-term equilibrium of attackers and defenders. |
| title | The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation |
| topic | Artificial Intelligence Cryptography and Security Computers and Society |
| url | https://arxiv.org/abs/1802.07228 |