Anekanta Consulting's team specialise in providing strategic AI advisory services to high-risk industries From defence and security, smart cities, critical infrastructure to manufacturing Are you ready? to identify a strategic advantage through the ethical use of AI in products or…
Category: AI Regulation
AI regulation is evolving around the world which means that developers and AI value chain decision makers need to navigate an international patchwork of requirements. The EU won the race to bring the world’s first AI safety legislation to market (Regulation (EU) 2024/1689), in force 1st August 2024. Other regions have adopted a range of approaches from the UK with a principles based regulatory framework, and emerging frontier AI safety legislation – to the US Executive Order for artificial intelligence, NYC anti-bias laws and California frontier AI proposals. At a state to state level, the Hiroshima process for advanced AI systems and the Council of Europe framework convention on artificial intelligence and human rights, democracy and the rule of law, have introduced uniformity through the adoption of OECD principles for trustworthy AI. Anekanta® informs AI strategy by advising organisations around the world how to design and develop their product road maps for international interoperability, in addition to assessing the risk of their current and planned use case scenarios.
AI Transparency. Is it Important?
This article was first published in Fire and Security Matters Magazine July 2020: https://www.fsmatters.com/Artificial-Intelligence-The-Transparency-Challenge Why should we challenge the transparency of AI? UPDATED 10th March 2023. In the two and a half years since we published this opinion piece, ChatGPT…
Anekanta® AI Governance Framework
Anekanta®'s AI governance framework was originally developed in 2020 and independently assessed by the University of Oxford, prior to the recent explosion in the awareness of AI as a beneficial business tool. The purpose of this set of principles is to ensure ethical AI practices throughout the organisation. It is clear that AI needs to be on the Board agenda and considered seriously as part of the CSR requirements. AI should not be confined within the realms of IT, although the CIO may take responsibility for implementation and management.