The author attempts to live without interacting with A.I. in New York City, only to find it nearly impossible. From navigation and payments to food, entertainment, and communication, machine learning touches every aspect of modern life. His experiment reveals A.I.’s pervasive influence and raises questions about dependence, transparency, and control.

AI is transforming art by blurring the line between human and machine creativity. This shift raises debates over originality, ownership, and ethics, forcing society to rethink what it means to create in the digital age.

Generative AI raises ethical issues—bias, misinformation, copyright, privacy, job loss, environmental impact, and misuse. Responsible use requires human oversight, transparency, data protection, fairness, sustainability, monitoring, education, and feedback to ensure accuracy, accountability, and societal trust.

While the uses of AI tools can seem unlimited, it’s critical that their expertise does not go unquestioned; AI tools are only as reliable as the data they’re trained on — and the people who build them.

The author argues that as AI systems become more powerful, we must turn focus from AI intelligence to AI integrity, meaning ethics, values, and moral reasoning embedded at the core of AI design. More sophistication and building of capability does not equate to better AI, unless these systems are grounded on integrity, such as fairness, transparency and inclusion. She then determines four operating modes for integrity-led AI as well as specific implementation strategies. (subscription required)

An interesting perspective on the new AI era arriving: AI engineers should adopt an ethical pledge similar to the medical Hippocratic Oath, given the profound impact their work will have on human health, cognition, society, and the planet. What should this oath include? Read to understand how some of the ethical concerns around AI could be addressed.