Category: AI Governance Best Practices

AI Governance: Balancing Innovation and Oversight

Riskonnect has launched its new AI Governance solution, enabling organizations to manage the risks and compliance obligations of AI technologies while fostering innovation. The solution integrates with Riskonnect’s broader risk management suite, helping customers apply a structured methodology for responsible and ethical AI use.

Read More »

Governance in the Age of AI: Balancing Opportunity and Risk

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.

Read More »

Simultaneous Strategies for AI Governance

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.

Read More »

Prioritizing Ethics and Sustainability in AI Development

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.

Read More »

AI Governance: Balancing Innovation and Oversight

Riskonnect has launched its new AI Governance solution, enabling organizations to manage the risks and compliance obligations of AI technologies while fostering innovation. The solution integrates with Riskonnect’s broader risk management suite, helping customers apply a structured methodology for responsible and ethical AI use.

Read More »

AI Adoption Trends and Governance Challenges in 2025

The survey conducted in early 2025 reveals that while nearly all organizations are engaging with AI, maturity levels vary significantly, with only 10% stating that AI is fundamental to their operations. Additionally, 38% of organizations have not assigned clear responsibility for AI implementation, highlighting a critical governance gap.

Read More »

Establishing a Strong AI Governance Framework in Education

As AI initiatives multiply across districts, the absence of a coherent governance framework risks creating scattered, inconsistent results. Adopting an AI governance manifesto is essential for school districts to ensure that AI serves overarching priorities and enhances educational outcomes.

Read More »

Leading AI Governance to Safeguard Enterprise Value

The article emphasizes the importance of boards leading AI governance to enhance enterprise value amidst the rapid technological changes brought on by AI. It argues that effective governance can transform the narrative of human capital from a cost to an investment, ultimately ensuring sustainable organizational success.

Read More »

Measuring Success in AI Governance

The success of AI governance relies on embedding ethical principles into strategies and decision-making processes, rather than merely documenting them. It is crucial to measure human behaviors related to AI use to ensure accountability and foster a culture of responsible AI implementation.

Read More »