Despite the growing volume of literature, the authors argue that current research efforts fall short in one crucial respect: ...

When communication lacks authenticity, or when data isn’t handled with intentionality and care, it places an organization’s ...

But while AI thrives in structured, data-heavy environments, the authors caution that it begins to falter when confronted ...

Re-weighting, adversarial debiasing, and fairness constraints can be incorporated into AI models to identify and eliminate ...

As the use of artificial intelligence (AI) tools becomes more prevalent in the workplace, businesses face new legal, ethical, ...

The age of artificial intelligence (AI) has transformed our interactions, but threatens human dignity on a worldwide scale, according to a study led by Charles Darwin University (CDU).

Generative AI: Impact, Considerations, and Ethical Issues. Generative AI: Impact, Considerations, and Ethical Issues is a Coursera course that partners with IBM to teach users about generative AI ...

We’re at a historic inflection point in AI regulation, but from algorithmic bias to privacy issues, the ethical concerns grow. In this panel, moderated by WIRED’s Khari Johnson, we explore how ...

While “cheat on everything” is certainly an intriguing and provocative value proposition, there are safer and more efficient ...

These risks span from technical and legal concerns to ethical and reputational challenges, making it imperative for boards to develop a deep understanding of how AI can impact their companies.