In this post, Joseph Jude discusses the complexities of implementing Responsible AI in enterprise applications, emphasizing the conflict between ideal principles and real-world business pressures. He introduces the NIST AI Risk Management Framework as a structured approach to identify and mitigate AI risks while fostering a culture of responsible AI use.
In this post, Joseph Jude discusses the complexities of implementing Responsible AI in enterprise applications, emphasizing the conflict between ideal principles and real-world business pressures. He introduces the NIST AI Risk Management Framework as a structured approach to identify and mitigate AI risks while fostering a culture of responsible AI use.
Malaysia’s upcoming AI Technology Action Plan 2026–2030 aims to enhance ethical safeguards and governance frameworks for artificial intelligence, as announced by Digital Minister Gobind Singh Deo. The plan will build upon existing guidelines to promote responsible AI use and encourage collaboration across various sectors.
Kerala is emerging as a global leader in ethical AI, particularly in education and public services, by implementing a multi-pronged strategy that emphasizes government vision, academic rigor, and grassroots innovation. The state’s commitment to human-centered development ensures that AI is used to empower local communities rather than simply serve profit-driven interests.
EY’s study reveals a significant disconnect between CEOs’ perceptions of AI concerns and actual public sentiment, with consumers expressing greater worries about issues like data privacy and misinformation. To bridge this gap, EY proposes a nine-point framework aimed at fostering responsible AI governance and addressing consumer apprehensions.
Utah State Rep. Doug Fiefia has been appointed to co-chair a national task force aimed at shaping state-level artificial intelligence policies. The task force, organized by the Future Caucus, intends to counteract partisan gridlock and provide lawmakers with the necessary resources for effective AI governance.
Utah State Rep. Doug Fiefia has been appointed to co-chair a national task force aimed at shaping state-level artificial intelligence policies. The task force, organized by the Future Caucus, intends to counteract partisan gridlock and provide lawmakers with the necessary resources for effective AI governance.
A recent study reveals that while 93 percent of UK organizations are using AI, only seven percent have implemented proper governance frameworks to manage associated risks. This gap highlights the urgent need for updated software development processes that address AI-specific challenges such as model bias and explainability.
As AI Appreciation Day approaches, industry leaders are reflecting on the transformative potential of artificial intelligence while emphasizing the urgent challenges of governance, ethics, and sustainability. They warn that while AI presents significant opportunities, it also brings complex risks that must be managed responsibly.
This guide explores the critical concepts of AI transparency, explainability, and interpretability, emphasizing the need for clear definitions and actionable recommendations. It synthesizes insights from various governance frameworks and standards to provide a comprehensive approach to implementing these principles in AI systems.