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| 001 | 00004523 | ||
| 003 | ES-MaONT | ||
| 005 | 20211006062553.0 | ||
| 008 | 180328s2018 xxud|||fqt||| 00| 0 eng d | ||
| 024 | _d. | ||
| 040 | _cES-MaONT | ||
| 245 | 1 |
_aThe Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation _cFuture of Humanity Institute ... [et al.] |
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| 260 | _cFebruary 2018 | ||
| 300 | _a101 p. | ||
| 336 |
_atexto (visual) _2isbdcontent |
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| 337 |
_aelectrónico _2isbdmedia |
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| 338 |
_arecurso en línea _2rdacarrier |
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| 520 | _aArtificial intelligence and machine learning capabilities are growing at an unprecedented rate. These technologies have many widely beneficial applications, ranging from machine translation to medical image analysis. Countless more such applications are being developed and can be expected over the long term. Less attention has historically been paid to the ways in which artificial intelligence can be used maliciously. This report surveys the landscape of potential security threats from malicious uses of artificial intelligence technologies, and proposes ways to better forecast, prevent, and mitigate these threats. We analyze, but do not conclusively resolve, the question of what the long-term equilibrium between attackers and defenders will be. We focus instead on what sorts of attacks we are likely to see soon if adequate defenses are not developed. | ||
| 650 | 0 |
_aTecnologías habilitadoras digitales _918 |
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| 653 | _aartificial intelligence | ||
| 653 | _amachine learning | ||
| 856 | 4 |
_uhttps://img1.wsimg.com/blobby/go/3d82daa4-97fe-4096-9c6b-376b92c619de/downloads/1c6q2kc4v_50335.pdf _x0 _yAcceso al documento |
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| 942 |
_2udc _cINF |
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