EU AI Act: Prepare your conformity assessment and technical documentation now (art. 11)
With the upcoming EU AI Act, time to prepare for the conformity assessment and technical documentation is upon us. While AI Act is undergoing amendments by the EU parliament, the AI Transparency Institute has developed several tools that enable you to conduct your conformity assessment. Please reach out to us if you have questions about […]
Prof. Hodac won a prestigious grant from Confiance.AI
We would like to congratulate Prof. Marion Hodac, General Secretary of the AI Transparency Institute, for having won a prestigious from Confiance.AI, with the institute. The institute is also affiliated to the project on AI Trustworthiness.
A quick guide to the most important AI law you’ve never heard of
The European Union is planning new legislation aimed at curbing the worst harms associated with artificial intelligence. By Melissa Heikkiläarchive It’s a Wild West out there for artificial intelligence. AI applications are increasingly used to make important decisions about humans’ lives with little to no oversight or accountability. This can have devastating consequences: wrongful arrests, incorrect grades for students, […]
Global Trends Analysis: Aligning AI Governance Globally – Lessons from Current Practice
Global Trends Analysis: Aligning AI Governance Globally – Lessons from Current Practice By Amandeep Singh Gill Considering data and artificial intelligence (AI) as global commons could be crucial in ensuring that these key technologies of the 21st century benefit all of humanity. However, fragmented efforts of AI development and governance across the world risk diluting the effectiveness […]
AI and Ethics: New Special Issue is Out!
The new Special Issue on Governance and AI: Challenges for a Sustainable Digital Ecosystem has been published in Springer’s AI and Ethics journal. The special issue was jointly guest edited by Eva Thélisson, Kshitij Sharma, and Himanshu Verma. The preface of the Special Issue was written by Jan Kleijssen, Director of Information Society and Action […]
ISO/IEC TR 24027:2021
Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making By ISO This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle […]
Classification Schemas for Artificial Intelligence Failures
By Peter J. Scott and Roman V. Yampolskiy In this paper we examine historical failures of artificial intelligence (AI) and propose a classification scheme for categorising future failures. By doing so we hope that (a) the responses to future failures can be improved through applying a systematic classification that can be used to simplify the […]
AI Governance: Digital Responsibility as a Building Block
Towards an Index of Digital Responsibility By Eva Thelisson, Jean-Henry Morin and Johan Rochel The rapid development of AI-based technologies significantly impacts almost all human activities as they are tied to already existing underlying systems and services. In order to make sure that these technologies are at least transparent if not provably beneficial for human […]