Article Alert: Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
Article Alert: Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems Authors: Dalrymple et al., 2024 Abstract: Ensuring that AI systems reliably and robustly avoid harmful or dangerous behaviours is a crucial challenge, especially for AI systems with a high degree of autonomy and general intelligence, or systems used in safety-critical […]
AI Transparency Institute @ AMLD’24
AI Transparency Institute @ AMLD’24 On behalf of the AI Transparency Institute, Eva Thelisson expresses her gratitude to C4DT for inviting the AI Transparency Institute to participate in the workshop “AI Safety: The Quest to Making AI Human-Centric, Trustworthy, and Safe” at the Applied Machine Learning Days (AMLD) 2024 in Lausanne. In her talk, titled, “A quest for […]
Computers make mistakes and AI will make things worse — the law must recognize that
Computers make mistakes and AI will make things worse — the law must recognize that This is an editorial that was published in Nature. A tragic scandal at the UK Post Office highlights the need for legal change, especially as organizations embrace artificial intelligence to enhance decision-making. More than 20 years ago, the Japanese technology […]
Responsible AI Institute Launches RAISE Benchmarks to Operationalize & Scale Responsible AI Policies
Responsible AI Institute Launches RAISE Benchmarks to Operationalize & Scale Responsible AI Policies Responsible AI Institute (RAI Institute), a prominent non-profit organization dedicated to facilitating the responsible use of AI worldwide, has introduced three essential tools known as the Responsible AI Safety and Effectiveness (RAISE) Benchmarks. These benchmarks are designed to assist companies in enhancing […]
A Taxonomy of Trustworthiness for Artificial Intelligence
A Taxonomy of Trustworthiness for Artificial Intelligence Jessica Newman, of the Berkeley’s Center for Long-Term Cybersecurity (CLTC) has developed a standalone taxonomy of trustworthiness for AI. The National Institute of Standards and Technology (NIST) has developed an AI Risk Management Framework (RMF) intended to promote trustworthy artificial intelligence (AI). In this report, we introduce a […]
CDEI portfolio of AI assurance techniques
CDEI portfolio of AI assurance techniques The portfolio of AI assurance techniques has been developed by the Centre for Data Ethics and Innovation (CDEI), initially in collaboration with techUK. The portfolio is useful for anybody involved in designing, developing, deploying or procuring AI-enabled systems, and showcases examples of AIassurance techniques being used in the real-world to support the development of trustworthy AI. […]
Google’s New Gmail Tool is Hallucinating Emails that don’t Exist
Google’s New Gmail Tool is Hallucinating Emails that don’t Exist This article is authored by Maggie Harrison for Futurism. Google’s new Bard extension will apparently summarize emails, plan your travels, and — oh, yeah — fabricate emails that you never actually sent. Last week, Google plugged its large language model-powered chatbot called Bard into a bevy of Google […]
OECD AI Principles overview
OECD AI Principles overview The OECD’s work on Artificial Intelligence and rationale fordeveloping the OECD Recommendation on Artificial Intelligence AI is a general-purpose technology that has the potential to improvethe welfare and well-being of people, to contribute to positivesustainable global economic activity, to increase innovation andproductivity, and to help respond to key global challenges. It […]
Marc Rotenberg: An AI Oversight
Marc Rotenberg: An AI Oversight Marc Rotenberg of the Center for AI and Digital Policy, has published an open letter “An AI Oversight”. Following is the text from his LinkedIn post: I published a Letter to the Editor in the current edition of Foreign Affairs. My letter (“An AI Oversight”) is a response to the […]
Research Article: Living guidelines for generative AI — why scientists must oversee its use
Research Article: Living guidelines for generative AI — why scientists must oversee its use This article, published in Nature and co-authored by Claudi L. Bockting, Eva A. M. van Dis, Robert van Rooij, Willem Zuidema, and Johan Bollen, recommends establishing an independent scientific body to test and certify generative artificial intelligence, before the technology damages […]