Explanation-driven manipulation represents a structural vulnerability in AI-assisted decision making. Attackers do not need to compromise training data, model parameters, or system infrastructure.

Illinois legislators have introduced a package of AI bills that would create a comprehensive regulatory framework for AI, covering areas such as education, employment, and professional services, and ...

The authors note that metric-based quality assessment can serve as a common language between developers, regulators, and users. By grounding quality claims in observable metrics, organizations can ...

In 2026, Amazon’s reported $200 billion push into artificial intelligence is reshaping the competitive landscape across cloud computing, enterprise software, ...

Artificial intelligence has become an integral part of modern cybersecurity operations. As digital threats grow in scale and ...

The pilot is positioned as a national model that could eventually guide AI adoption across more than 50,000 colleges and ...

By combining deep SAP expertise with AI-driven automation on Microsoft Azure, Anuradha Karnam helps global enterprises run mission-critical SAP systems with greater stability, resilience, and ...

Technology adoption across the region has accelerated in recent years, with AI, automation and digital platforms becoming ...

Deepsnitch AI, Bitcoin Hyper, and LiquidChain are now appearing more often in side-by-side analysis. Instead of focusing only ...

A core promise of Daleel is that it does not tell users what to buy. Instead, it shows what the data says and leaves the ...

Africa is rapidly becoming one of the world’s most enthusiastic adopters of artificial intelligence (AI), but according to ...