| Title: | Supporting Ethical Decision-Making for Lethal Autonomous Weapons (2024) |
| Material Type: | Article : Articles |
| In : | Journal of Military Ethics (23-1) |
| Article on page: | pp.12-31 |
| Languages: | English |
| Descriptors: |
6.60 Equipment and facilities > Vehicles > Autonomous vehicles |
| Abstract: |
This article describes a new and innovative methodology for calibrating trust in ethical actions by Lethal Autonomous Weapon Systems (LAWS). For the foresee able future, LAWS will require human operators for mission planning, decision-making, and supervisory control; yet humans lack the cognitive bandwidth and processing speed to make prompt, real-time ethical decisions. As a result, trustworthy Artificial Intelligence (AI) will be required to support ethical decision-making. We use a Bayesian ethical decision model for: (1) human setting of ethical preferences and thresholds in accordance with Laws of War and tactical criteria; and (2) highlighting the factors that contribute tostrike/no-strike recommendations for human evaluation. Themodel can perform an ethical analysis, provide a quantitative ethical strike/no-strike score, and recommend actions to reduce decision uncertainty. In this article, we describe successful initial evaluation trials of the Bayesian model and of a human interface for interaction with the model. Our Bayesian ethical decisionmodel has an immediate application in wargames; the model canal so be used to train operators in understanding the principles and key factors relevant to ethical decision-making; and it may eventually be used in actual military operations employing LAWS. |
| Source du document : | Journal of Military Ethics, 23(1), pp.12–31. |
Copies (1)
| Barcode | Call number | Media type | Location | Section | Status |
|---|---|---|---|---|---|
| 9979085 | JME | Serial | Royal Military Academy | BIBL ERM SLZ | Not for loan |
E-copies (1)
 Supporting_Ethical_Decision-Making_for_Lethal_Autonomous_Weapons.pdf Adobe Acrobat PDF |
