AI offers both opportunities and challenges. Ensuring ethical handling of data, fairness, and user privacy is crucial. This includes transparency, bias detection and user consent.

As the use of gen AI becomes widespread, could a mix of “quality, restraint and responsible use” help marketers avoid ethical ...

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 ...

Google has pledged to double its AI ethics research staff to help prevent bias and discriminatory outcomes in its products. Engineering VP, Marian Croak will share how the company will ensure more ...

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

Protesters are accusing Google of breaking its AI safety promises, staging demonstrations at their offices. More details here.

AI ethics meets enterprise reality - can the two be reconciled? The AI for coding productivity debate heats up, thanks to a ...