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.
The European Commission has issued guidelines to assist AI models identified as having systemic risks in complying with the EU’s artificial intelligence regulation, known as the AI Act. Companies face significant penalties for violations, with the guidelines requiring evaluations, risk assessments, and cybersecurity measures for compliance.
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.
Microsoft is expected to sign the European Union’s code of practice for artificial intelligence, while Meta Platforms has declined to do so, citing legal uncertainties. The code aims to ensure compliance with the EU’s AI regulations and requires companies to disclose training data.