That wearable fitness device on your wrist is measuring so much more than your exercise levels. Digital tools offer unprecedented opportunities in health research and healthcare but it can come at the cost of privacy. Six days of step counts are enough to identify you among a million other people – and the type of inferences that can be made from other everyday behaviors is growing rapidly.
Camille Nebeker, EdD, MS is Associate Professor of Behavioral Medicine in the Department of Family Medicine & Public Health at the UC San Diego School of Medicine. She discusses the ethical considerations of informed consent and potential harms and benefits of these technologies. She also shares ideas on how we can work together to create systems that define and encourage safe digital health research and practice.
Watch — The Digital Revolution: Ethical Implications for Research on Healthy Aging
We have all heard the dire warnings. Artificial intelligence is predicted to decimate job sectors already hit hard by outsourcing. Some studies suggest up to half of all work could be automated by 2030. That means factory workers, drivers, even some accountants may find themselves without a job.
Jennifer Granholm, the former governor of Michigan, knows the pain of job-loss all too well. She witnessed the closing of factories in towns like Greenville, where three thousand of the town’s eight thousand residents worked at the same plant. But, Granholm remains optimistic about the future of employment in the United States. She believes we can make artificial intelligence work for us, not against us.
Granholm uses the autonomous vehicle as one example. While the technology could put five million drivers out of work, it could also create millions of new jobs. We could see the rise of new industries such as mobile motels, or pop-up shops. Driverless cars could eliminate the need for massive parking lots, creating space for affordable housing. But, new industries require a workforce with new skills.
Granholm has five suggestions for creating that workforce. Three of those suggestions focus on investment in training, including apprenticeships and internships. She suggests diverting funds currently used to subsidize unemployment. She also says we need to come up with a way to create portable benefits for people with alternative jobs, such as Uber drivers and other app-based workers. The final suggestion: pay people for their data. Granholm says the tech sector is making billions off our personal information, and there may be a way to share that wealth.
Watch Shaping a 21st Century Workforce – Is AI Friend or Foe?