AI and digital technology hold transformative potential for healthcare, but to fully realise their benefits, we must address ...

Artificial Intelligence (AI) is transforming industries globally, and healthcare is no exception. The rapid advancement of AI technologies has led to groundbreaking innovations in medical diagnosis, ...

However, trust gaps among clinicians and ... said they were unsure about the legal liability issues that may follow the use of AI to assist healthcare decisions. Data bias was cited as another ...

In today’s CEO Daily: Diane Brady on building patient and doctor trust in AI. Analyst notes from Morningstar on Nvidia ...

AI is expanding rapidly, and like any technology maturing quickly, it requires well-defined boundaries – clear, intentional, ...

The EEM integrates two sets of principles: ethical ones that include well-being, autonomy, justice, and explicability, and ...

Building trust in AI's safety and transparency needs ongoing discussions among all involved. Healthcare professionals should actively seek legal advice to understand AI's complex issues, follow new ...

This article explores AI’s ethical challenges, including bias, privacy, and accountability. These issues, from fairness to ...

As artificial intelligence (AI) is widely used in areas like healthcare and self-driving cars, the question of how much we ...

As healthcare systems increasingly rely on data-driven insights, ensuring ethical and regulatory compliance has become crucial. This article explores how privacy, transparency, and fairness are being ...

Hosted by Provost Alec Gallimore, the symposium took place a week after he announced a new initiative that aims to increase conversation about the technology and make the University a leader in the ...