Tackling Healthcare AI's Bias, Regulatory And Inventorship Challenges
In an interview with Healthcare IT News, Member Terri Shieh-Newton talks about the complex questions that emerge during the implementation of AI. She also provides insights aimed at healthcare and technology executives.
According to Terri, "Healthcare organizations must have an approach to AI that best positions themselves for growth, including managing:
- Biases introduced by AI. Provider organizations must be mindful of how machine learning is integrating racial diversity, gender and genetics into practice to support the best outcome for patients.
- Inventorship claims on intellectual property. Identifying ownership of IP as AI begins to develop solutions in a faster, smarter way compared to humans."
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