Dimensions of Autonomous Decision making: A First Step in Transforming the Policies and Ethics Principles Regarding Autonomous Systems into Practical System Engineering Requirements

Abstract

This study identifies the dimensions of autonomous decision-making (DADs) - the categories and causes of potential risk that one should consider before transferring decision-making capabilities to an intelligent autonomous system (IAS). The objective of this study was to provide some of the tools needed to implement existing policies with respect to the legal, ethical, and militarily effective use of IAS. These tools help to identify and either mitigate or accept the risks associated with the use of IAS that might result in a negative outcome. The 13 identified DADs were developed from a comprehensive list of 559 "risk elements" drawn from hundreds of documents authored by parties in favor of, and opposed to, the use of autonomy technology in weapons systems. We record these elements in the form of a question so that they can be used by the acquisition community to develop requirements documents that ensure the ethical use of autonomous systems, and be used by military commanders as a risk assessment checklist to ensure that autonomous systems are not used in an unethical manner. In this way, the Department of Defense can make fully-informed risk assessment decisions before developing or deploying autonomous systems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1181791

Entities

People

  • Becky Roh
  • Kevin Pollpeter
  • Mark Rosen
  • Michael F. Stumborg
  • Sam Bendett

Organizations

  • Center for Naval Analyses

Tags

Communities of Interest

  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Autonomous Weapons
  • Civil Rights
  • Cognitive Systems Engineering
  • Department Of Defense
  • Drone Targeting
  • Human-Machine Systems
  • Intelligence Community (United States)
  • International Law
  • Military Science
  • National Governments
  • National Security
  • Test And Evaluation
  • United States Government
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • War Colleges
  • Warfare

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Cybersecurity.
  • Military Leadership and Professional Education.

Technology Areas

  • Autonomy