Displaying 87 resources
Article/Books/eBooks Article/Books/eBooks

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering

When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.
Category
Support guidance in the responsible implementation of ADR
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e

AI Studies

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.
Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand
Article/Books/eBooks Article/Books/eBooks

Labour-saving technologies and employment levels

This paper exploits natural language processing techniques to detect explicit labour-saving goals in inventive efforts in robotics and assess their relevance for different occupational profiles and the impact on employment levels.
Category
Support guidance in the responsible implementation of ADR
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

Designing a Rights-Based Global Index on Responsible AI

A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.
Category
Fundamental Rights, Principles, and Values, Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values
Target audience
Individual Citizens/Members of the Society
Source
Adra-e

The regulatory perspective

Category
Recommendations towards policy changes, public reports
Target audience
professionals
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Recommendation on the Ethics of Artificial Intelligence

Category
Recommendations towards policy changes, public reports
Target audience
professionals
Source
Adra-e