Displaying 9 resources

Don’t ask if AI is good or fair, ask how it shifts power
Opinion piece by Pratyusha Kalluri in Nature

Is ethical AI possible?
An interview with Timnit Gebru, the founder of the Distributed AI Research Institute.

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.

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.

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.

AI in Healthcare: From Science Fiction to Reality
The webinar will cover pros, cons, possible attention points and benefits of AI for patients.

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.

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.