Assured Autonomy (Briefing Charts)

Abstract

Impressive progress in machine learning in last decade, but challenges remain for use in safety critical systems. Assurance and trustworthiness critical for use in safety critical systems. Program developing an assurance architecture and toolbox for assurance of learning-enabled systems, released through research community platform (CPS-VO) and (planned) through DoD platform (JAIC). www.assured-autonomy.org. Established community of researchers and practitioners in AI safety. AI safety workshops, NN verification competition, CPS-VO community and design studios. Publications in top AI, CPS and Control conferences. International collaborations.

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Document Details

Document Type
Technical Report
Publication Date
Apr 11, 2022
Accession Number
AD1167570

Entities

People

  • Sandeep Neema

Organizations

  • Defense Advanced Research Projects Agency

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Anomaly Detection
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Autonomous Systems
  • Autonomous Underwater Vehicles
  • Autonomous Vehicles
  • Autonomy
  • Change Detection
  • Command And Control
  • Computational Science
  • Computer Languages
  • Detection
  • Dimensionality Reduction
  • Machine Learning
  • Multiagent Systems
  • Neural Networks
  • Reinforcement Learning
  • Simulations
  • Training

Fields of Study

  • Computer science

Readers

  • Academic Conference Management
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy