By
Debra KaufmanJanuary 6, 2022
During CES this week, CTA senior vice president of political and industry affairs Tiffany Moore led a discussion on the contentious issues surrounding privacy in an evolving digital landscape. With her, former FTC acting chair Maureen Ohlhausen was joined by Asad Ramzanali, legislative director to Representative Anna Eshoo (D-California), and Dr. Carlos Nunez, ResMed chief medical officer. Ohlhausen noted that the FTC is the primary agency tasked with privacy issues, based on a 1938 law passed by Congress prohibiting “unfair and deceptive acts or practices.” Continue reading CES: Stakeholders Debate the Complex Issues of Privacy 3.0
By
Debra KaufmanJanuary 6, 2022
Pioneering tech journalist Robin Raskin brought together six companies that have created innovative digital health products due to the increased use of data and connectivity. “Connectivity is a predictor of health,” said Raskin. “The more connected we are, the healthier we will be. Next, we need to get this technology out there as inexpensively and widely as possible.” Deloitte’s national consulting leader for life sciences and health care practices Dr. Lynne Sterrett outlined five macro trends: interoperable data, equitable care, owning our own data, the use of data to inform behavior change, and science as the winner during the pandemic. Continue reading CES: Connectivity and Data Fuel Innovations in Digital Health
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Debra KaufmanJanuary 13, 2021
During a CES 2021 panel moderated by The Female Quotient chief executive Shelley Zalis, AI industry executives probed issues related to gender and racial bias in artificial intelligence. Google head of product inclusion Annie Jean-Baptiste, SureStart founder and chief executive Dr. Taniya Mishra and ResMed senior director of health economics and outcomes research Kimberly Sterling described the parameters of such bias. At Google, Jean-Baptiste noted that, “the most important thing we need to remember is that inclusion inputs lead to inclusion outputs.” Continue reading CES: Panel Examines Issues of Gender and Racial Bias in AI