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

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

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 ...

Fortunately, as communications specialists, we can work cross-functionally to evaluate AI-powered products or services, determine if they have ethical risks and champion actions to manage them.

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

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

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 ...

One certainty is that AI is here to stay, and LIMRA made sure to acknowledge this during its 2024 Annual Conference. In addition to Levenson's opening comments on AI, several breakout sessions ...