It's great to see research focused on the lack of representation of older people in databases used for AI analysis.
The smartphone location data used to help plan pandemic responses may underrepresent those most hit by Covid-19 https://t.co/jT0LBGR6CJ via @WSJ
This is a fantastic, thoughtful report from the Center on Budget and Policy Priorities about how to use the current moment to adopt anti-racist policies. https://t.co/xVxO5G4C3Y
#2019APPAM General question: What can anyone tell us about ways that machine learning has been used for benefit- eligibility decisions and what safeguards can be put in place to avoid bad outcomes (e.g., use of algorithm to predict unemployment insurance fraud in Michigan).
Here at the American Psychological Association conference to learn more about aging and technology and online tools to help people prepare for the future of work. #APATech19@AARPpolicy
Your face, voice and social media may have already been analyzed by AI to determine if you’re a good fit for your next job https://t.co/CCcQ4nrmHz via @WSJ
@marcrotenberg We need to differentiate personal data from other types of data. Personal data released should have expiration date to ensure encryption technique used to de-identify remains robust. #politicotech@aarppolicy
We need to figure out the right way to allow the use of federal health data to advance areas such as predictive medicine while protecting privacy and avoiding bias. #politicotech@aarppolicy@MartinHeinrich
An energetic start to @Aspenideas with @DorothySiemon quoting @AARP founder Ethel Percy Andrus, if we are not content with things as they are, we must concern ourselves with things as they might become #AspenIdeasHealth