ADR Awareness Centre

Opinion piece by Pratyusha Kalluri in Nature

An interview with Timnit Gebru, the founder of the Distributed AI Research Institute.

Video-based introduction to AI.

Opinion piece by IBM on bias and AI.

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.

Advances in artificial intelligence and robotics may be leading to a new industrial revolution. This paper presents a model with the minimum necessary features to analyze the implications for inequality and output.

The OECD AI Principles promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. Adopted in May 2019, they set standards for AI that are practical and flexible enough to stand the test of time.

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 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.