The A-D-A-E framework is a governance model that injects ESG accountability, enterprise risk management, regulatory compliance and program discipline into AI.

As digital sovereignty becomes a strategic requirement, organizations are rethinking how they deploy critical infrastructure and AI capabilities under tighter regulatory expectations and higher risk ...

Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding customer trust and increasing risk.

There’s never been a more critical time for life sciences organizations to adopt strategies that help them strike a balance between mitigating risk and fueling innovation. AI has created a plethora of ...

e&, a global technology group, is partnering with IBM to deploy a pioneering, end-to-end, multi-model Artificial Intelligence (AI) and generative AI governance solution. This collaboration intends to ...

Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

A newly released 2024 E-Government Survey from the United Nations paints a picture of significant progress in the global pursuit of digital government. Compared to just a few years ago, a vast ...

Federal Government-Owned Enterprises (FGOEs) are entities wholly owned by the federal government or those in which the government holds a majority or controlling stake. This ownership may be direct or ...

Karnataka is in the race to become the country’s cutting-edge technology hub and the model of digital governance with stepped-up cooperation with the union government on digital services delivery for ...