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.
Artificial intelligence (AI) is rapidly transforming business operations and decision-making processes in the Philippines, with the domestic AI market projected to reach nearly $950 million by 2025. However, the emergence of agentic AI brings new governance challenges, as businesses must adapt to manage the risks associated with these increasingly autonomous systems.
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.
The development of responsible Artificial Intelligence (AI) policies and overall AI strategies must occur simultaneously to ensure alignment with intended purposes and core values. Bhutan’s unique approach, grounded in the philosophy of Gross National Happiness, positions it as a noteworthy contributor to global AI governance discussions.
A recent study reveals that while 93% of UK organizations are utilizing AI, only 7% have established proper governance frameworks. This lack of oversight poses significant risks, as many companies are advancing in AI adoption without understanding the associated challenges and necessary controls.
The European Commission is inviting experts to apply for its newly established AI Act Advisory Forum, which will provide crucial guidance on the implementation of the EU’s AI Act aimed at ensuring responsible AI usage. This forum seeks a diverse range of professionals to ensure balanced representation and address the multifaceted challenges of AI regulation.
The European Commission is inviting experts to apply for its newly established AI Act Advisory Forum, which will provide crucial guidance on the implementation of the EU’s AI Act aimed at ensuring responsible AI usage. This forum seeks a diverse range of professionals to ensure balanced representation and address the multifaceted challenges of AI regulation.
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.
IBM has introduced tools to help organizations manage AI systems they may be unaware of, addressing the growing challenge of shadow AI. With a significant number of employees using unapproved AI tools, the company aims to unify governance and security to mitigate associated risks.