As artificial intelligence (AI) and machine learning drive innovation and disruption in clinical trials and precision medicine, questions around the responsible use of AI have moved to the forefront of debates among healthcare stakeholders – patients, providers, regulatory authorities, payors and sponsors. To what extent, for example, can we rely on AI algorithms when it comes to matters of life and death or personal health and well-being? How do we make sure that these AI algorithms are being used for their intended purposes? How do we monitor the results of these algorithms?
