Fixing the patient data collection process to solve bias in precision medicine
"A significant concern with every application of machine learning is fairness."
"A significant concern with every application of machine learning is fairness."
The economic payoff of investing in machines and software has been elusive. But the inequality resulting from those investments is crystal clear.
Daron Acemoglu ... suggests that the adoption of robots from 1990 to 2020 resulted in fewer jobs and lower wages overall.
...automation is responsible for "more than half" of the decline in wages...more than the rise of China and the decline of private-sector unions.
...wages in America are increasingly unequal, and the biggest factors are related to automation.
"It's not where we work that matters the most; it's how the work is done and who is doing it."
...there are a lot of piecemeal automation steps that companies can take that might be cost-effective...
AirWorks was founded in 2017 by David Morczinek (MBA '18) … an aerospace engineer from the manufacturing side of Airbus.
...the collective intelligence of a group rises when there are women involved in that group. And in fact, the more women, the better.
[Research Affiliate Matt Beane] researches how machines and human beings can work together productively.