Who is responsible when an AI system causes harm? When algorithms make decisions that affect real lives, accountability ...

This guide provides IT leaders with a comprehensive approach to applying zero-trust principles in AI and LLM architectures, ...

The integration of AI in life science recruitment is already reshaping hiring processes by offering increased efficiency, ...

Today, and for the foreseeable future, maintaining compliance with applicable AI regulations is a moving target for ...

How, then, should organizations integrate ethicists so they can live up to their mandate of improving ethical decision-making ...

Named the Model for Responsible Innovation, it has been created by the Responsible Technology Adoption (RTA) Unit in DSIT, ...

Consumer trust is difficult to win back once lost, and brands that fail to respect data privacy risk alienating their most ...

Into 2025 and beyond, a strategic, responsible and intentional approach to enterprise AI adoption is critical for long-term success on meaningful projects.

The Department of Homeland Security worked with its diverse AI Safety and Security Board to develop a holistic approach for ...

The path to a people-centered digital future requires cooperation across borders and sectors, and addressing challenges like ...

To calculate just how much generative AI contributes to this problem, Tzachor and his colleagues examined the type and volume ...

Piotr Winiewicz discusses his hybrid feature debut that opens IDFA, getting Krieps and Stephen Fry, trusting AI more than the ...