AI in Healthcare: Putting Ethics First

Artificial Intelligence (AI) is transforming healthcare, but we must tackle challenges to ensure it benefits everyone. One way to do this is by using Embedded Ethics. This approach combines ethics and social sciences in AI development. It helps address issues like bias, lack of transparency, and misrepresentation. Stakeholders should be involved from the start. This means talking to patients, healthcare providers, and others affected by the technology. Literature reviews and ethnographic studies can provide a deeper understanding of the issues. Interviews and focus groups can gather insights from those affected. Bias analyses are crucial to check if the AI treats everyone fairly. Workshops bring everyone together to discuss findings and plan for the future. Sharing results across disciplines ensures everyone learns and improves. Embedded Ethics encourages thoughtfulness and proactive planning for ethical concerns. It fosters teamwork across different fields. This approach can guide the creation of responsible, inclusive, and ethical healthcare AI. It’s not just about the technology, but about how it impacts people’s lives.