Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Artificial intelligence (AI) developed its reputation for efficiency and predictability through systematic decision making procedures. However, disruptors are rising to contest the basic algorithms ...

AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

ChatGPT and alike often amaze us with the accuracy of their answers, but unfortunately, they also repeatedly give us cause for doubt. The main issue with powerful AI response engines (artificial ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by ...

Overview: AI now supports doctors across diagnosis, triage, and operations in hospitals and clinics.From cancer screening to ECG analysis, AI improves accuracy ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.