Congratulations to Dr. You Chen, PhD, FAMIA, on receiving the Presidential Early Career Award for Scientists and Engineers (PECASE)—the highest honor bestowed by the U.S. government on early-career scientists and engineers. On January […]
Read More… from Dr. You Chen, PhD, FAMIA Receives PECASE Award
Dr. Nebeker and Kumar discussed collecting accelerometry data from wrist-worn devices and the potential re-identification risks for research participants. […]
To remove identifying information from something (such as computer data) so that the original source cannot be known; to make something anonymous. […]
Dr. Hernandez-Boussard, examined ethical challenges in healthcare AI, focusing on bias, accountability, transparency, and fairness. […]
Dr. Ghosh discussed voice as a personal biometric marker that conveys identity, emotion, and intent, while also posing privacy risks in audio-driven technologies. […]
Read More… from Dr. Ghosh-Concepts of Identity in Voice: Audio Data Processing and Anonymization
To remove identifying information from something (such as computer data) so that the original source cannot be known; to make something anonymous. […]
Dr. Leo Celi presented on the societal implications of AI, addressing concerns such as its role in accelerating climate change, reinforcing systemic inequities through data bias, and fostering monopolistic dependencies on large firms. […]
Read More… from Dr. Mello: Using AI in Patient Care: Emerging Legal Issues
Trustworthiness, a commonly recognized antecedent to trust, can be described as the perception of probabilities, or expectation, that a trusting relationship will result in gains and/or losses from engaging in an encounter that requires trust. […]
Trustworthiness, a commonly recognized antecedent to trust, can be described as the perception of probabilities, or expectation, that a trusting relationship will result in gains and/or losses from engaging in an encounter that requires trust. […]
Trustworthiness, a commonly recognized antecedent to trust, can be described as the perception of probabilities, or expectation, that a trusting relationship will result in gains and/or losses from engaging in an encounter that requires trust. […]