Research and Education Initiatives

As the new wave of artificial intelligence integrates the digital, physical, and biological spheres together, this will make tremendous impact in data-driven research, including health and medical device research. Public policy, proposed laws and regulatory approaches articulate more explicit and demonstrable accountability processes for artificial intelligence (AI). There is no common standard as to what these new demonstrable processes should consist of. This void includes how DPA’s and other assessment requirements should be structured. This lack of common expectations regarding standards of practice creates uncertainty for businesses wishing to grow their use of data.  For research to benefit patient and societal interests, trust-enhancing frameworks should be developed for a purely digital research environment.

The IAF has drafted model fair processing legislation to inform legislative processes in the United States and other jurisdictions intent on drafting legislation in response to risks to people from the accelerated use of observational data, advanced analytics, model development, and AI. The last big change in computer and communication technology was captured in the third phase of privacy legislation best exemplified by the GDPR. The fourth legislative phase of privacy legislation needs to meet the challenges of 2025 and beyond. IAF model legislation will help define the way policymakers think about policy choices. The IAF will continually refine the model so that it is fit for its educational purposes.