AI Ethics and Algorithmic Accountability
Integrating AI into healthcare and biomedical research presents ethical and practical hurdles. Although there's broad agreement on the necessity of "ethical AI," the specific principles, standards, and responsibilities involved are still under debate.
Some Key Questions
Key ethical questions include how algorithmic transparency influences consent, how to define trustworthy AI, and how to mitigate risks such as bias, exploitation, and erosion of autonomy. These challenges call for interdisciplinary approaches and robust frameworks to guide responsible, rights-respecting innovation in health AI.