The Cloud Industry Forum’s research shows that businesses are increasingly prioritizing environmental, social, and governance (ESG) factors when choosing a cloud vendor. While cost…
Browsing: Trustworthiness
This article discusses the challenges and potential risks associated with deep learning systems, and the need for trustworthy AI. It calls for convergence of…
This article discusses the issues of accuracy and trustworthiness in AI chatbots and how retrieval-augmented generation (RAG) can help overcome these challenges. RAG allows…
Microsoft has decided to switch off recall by default after facing backlash over security concerns. While the most blatant issues may have been addressed,…
Tala Fakhouri, Associate Director for Policy Analysis at the FDA, discusses the potential future of AI and machine learning in the pharmaceutical industry and…
Adam Dziedzic, a senior scientist at CISPA, is working on addressing the major challenges of machine learning such as privacy, confidentiality, robustness, interpretability, security,…
This article discusses a user-centered evaluation approach for LLM-based healthcare chatbots, which takes into account three confounding variables: user type, domain type, and task…
Explainable Artificial Intelligence (XAI) is a paradigm within the field of AI that focuses on creating systems capable of providing understandable explanations for their…
Aaquib Tabrez discusses his research on explainable AI and human-robot interaction, focusing on developing frameworks for effective communication and collaboration between humans and autonomous…
Professional beggar gangs originating from Pakistan have become a crisis that demands immediate government action. 90% of professional beggars arrested in the Middle East…