| ID | 190286 |
| Title Proper | Leading in Artificial Intelligence through Confidence Building Measures |
| Language | ENG |
| Author | Horowitz, Michael C ; Kahn, Lauren |
| Summary / Abstract (Note) | The role of artificial intelligence (AI) in military use has been the subject of intense debates in the national security community in recent years—not only the potential for AI to reshape capabilities, but also the potential for unintentional conflict and escalation. For many analysts, fear that military applications of AI would lead to increased risk of accidents and inadvertent escalation looms large, regardless of the potential benefits. Those who are concerned can cite a plethora of potential ways things can go awry with algorithms: brittleness, biased or poisoned training data, hacks by adversaries, or just increased speed of decision-making leading to fear-based escalation. |
| `In' analytical Note | Washington Quarterly Vol. 44, No.4; Winter 2022: p.91-106 |
| Journal Source | Washington Quarterly Vol: 44 No 4 |