Trustworthy AI

TRUST

Trustworthy AI

Woman looking through transparent screen with informationThe purpose of this work package is to reinforce a common understanding of safe and responsible AI, specifically:

  1. Establish trust in safe and responsible AI
  2. Ensure privacy-preserving in AI technologies
  3. Create guidelines for sustainable and beneficial use of AI
  4. Develop principles for explainable and transparent AI
  5. Develop principles for independent assurance of AI deployment

 
 
Trust in AI is a necessary condition for the scalability and societal acceptance of these technologies. Without trust,  innovation  can  be  stalled. This research investigates, from an interdisciplinary perspective, the multiple dimensions of trust raised by the deployment of AI and builds tools, methods, and a framework for assuring the safe and responsible deployment of AI in industry and society. This work package aims to answer the question: How can such tools address the safety and needs of individuals, organizations and society at large, addressing both non-technical and technical issues? The research will address issues related to safety,  explainability,  transparency,  bias,  privacy  and  robustness,  as  well  as  human-machine interactions  and  co-behaviour all  in  the  context  of  industry  regulations  and  societal  expectations.

 

Projects

Projects

Projects

Short description: Create searchable repository of trust in AI and assurance guidelines and regulations to be shared with partners and updated throughout whole of NorwAI project.

Time perspective: Start Jan 2021, continuous throughout project

Involved partners:

DNV logo

Short description: Review current trust in AI and assurance guidelines and regulations in place effecting the various work package (WP4 -8) applications and innovation pilots.

Time perspective: Start Jan 2021, Report deliverable end Dec 2021

Involved partners:

DNV logo

Stories

Stories

Trusting technology is to understand its performance

Trusting technology is to understand its performance

Portrait Frank Børre PedersenFundamentally, we start to see part of society increasingly relay on decisions and activities made by machines and models that are now fueled with live data. 

Frank Børre Pedersen, VP and Programme Director at DNV, says that the starting point for trusting the technology is understanding its performance. 

2022-04-28


Research activities - Visions and plans

Research activities - Visions and plans

Photo. Asun Lera StClairNorwAI’s interdisciplinary design of two pillars, one to study impact of AI on society and a second one to explore trustworthiness of AI solutions are key, says Asun Lera St Claire, Program Director, digital assurance DNV Group Research and Development.

2021-04-20