Abstract: With the exponential growth of global ecommerce, the challenges related to cross-border data security have become increasingly severe. This paper explores the current landscape of ...

One downside of enterprise AI is that many systems still function as a black box — they produce results but offer little visibility into how they reached them. NetSuite is designing its systems around ...

PRA observation The PRA observed that monitoring cycles for AI and ML models are often too infrequent. Some firms monitor ...

LLM-based agentic AI introduces a variety of new systemic risks only partially addressed by the EU AI Act. Gerhard Schimpf ...

China has made AI education compulsory for primary school students but a similar move in India will have to contend with multiple challenges.

To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" ...

As AI reshapes biotechnology, stakeholders are acting to establish governance to maintain safety and efficacy standards.

Integrating ADR into TRAIGA’s investigative phase represents more than an administrative convenience; it signals a mature ...

No single team can make AI explainable alone. Product teams define goals and clarify which decisions matter most. Data ...

The progressive and award-winning villages are inspiring voters to demand comparable progress in the high-stakes polls.

Explore Andhra Pradesh's district restructuring: a political maneuver or a genuine push for effective governance? Discover ...

The Possibility Lab is working with state agencies and communities to implement more participatory engagement and frameworks.