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: ...

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 ...

Ethical AI means supporting the responsible design and development of AI systems and applications that are not harmful to people and society at large. While this is a noble goal, ...

However, only 17% of businesses are addressing generative AI risks, which leaves them vulnerable. Businesses must also ensure they are prepared for forthcoming regulations.

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.