ADR Awareness Centre

Paper exploring the relationship between women and AI.

The article critically reviews the use of generative AI is research.

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.

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.

A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.

This webinar addresses the ethics of AI in healthcare.  

The webinar will cover pros, cons, possible attention points and benefits of AI for patients.  

This webinar addressed the profound impact of AI, and decision-making algorithms, on human rights.

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.

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

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.