Displaying 24 resources
Article/Books/eBooks
Pygmalion Displacement: When Humanising AI Dehumanises Women
Paper exploring the relationship between women and AI.
Article/Books/eBooks
Generative AI and Research Integrity
The article critically reviews the use of generative AI is research.
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.
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.
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.
Video/Webinars
AI in Healthcare: From Science Fiction to Reality
The webinar will cover pros, cons, possible attention points and benefits of AI for patients.
Video/Webinars
Deep impact of AI on Human Rights
This webinar addressed the profound impact of AI, and decision-making algorithms, on human rights.
Tutorial/How To/Guides
Understanding artificial intelligence ethics and safety
This guide provides end-to-end guidance on how to apply principles of AI ethics and safety to the design
and implementation of algorithmic systems in the public sector.
Case studies
Company Law Review Group’s Annual Report: proliferation of AI
The Company Law Review Group compiled a report for the Minister for Trade, Enterprise & Employment regarding how the proliferation of AI may impact on company law.
White paper
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
This report suggests various steps that different stakeholders in AI development can take to make it easier to verify claims about AI development, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI s
Video/Webinars
Trustworthiness of AI applications in public sector
Public trust is a key component for the adoption and diffusion of newly emerging technologies, even more in the case of citizens’ everyday interaction with public administrations.