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 ...

AI-related risk exposure, according to Kim, falls into three primary categories: bias and discrimination, misuse, and data ...

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

AI exacerbates all these issues by making it easier to collect personal data and use it to manipulate people. ... Case Study Examples of Ethics in Artificial Intelligence.

On any given Sunday, churchgoers settle into pews as a clergy person takes an ancient holy text and figures out what it has ...

The age of artificial intelligence (AI) has transformed our interactions, but threatens human dignity on a worldwide scale, ...

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.

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 ...

Championing a risk-based approach rather than a constrained one creates a playground for innovation. When teams are confident that an AI ethics team will support them in managing potential risks ...