Machine learning and data science are transforming decision-making in safety-critical domains such as aerospace, automotive, health care, and industry manufacturing. Though these technological advances have many advantages, they do present issues with transparency and reliability. This is where human-centered machine learning plays a crucial role.
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IMPACCT RWE Summit Allows Exploration of Future of Real-World Evidence
The 12th IMPACCT Real World Evidence Summit is set to take place October 29–31 in Boston. Featured speaker Kelly H. Zou, who serves as head of global medical analytics, real world evidence, and health economics and outcomes research at Viatris, tells us a little about what participants can expect.
Data Science Statement Updated to Include AI
The ASA Committee on Data Science and Artificial Intelligence revised the ASA Statement on the Role of Statistics in Data Science to include artificial intelligence. The statement is now titled the ASA Statement on the Role of Statistics in Data Science and Artificial Intelligence.