Reposted from @mitsmr Before COVID-19, there was apprehension about robots and artificial intelligence. Now, we're overlooking our former uneasiness about AI as increasingly, the technology's perceived value outweighs its anticipated downsides. However, there are many considerations we have to make before becoming more reliant on AI during the pandemic. First, we need to be mindful of AI's bias. For example, the potential of AI algorithms to assist with health care decision-making is vast. We know that many forms of bias underlie data sets and can interfere with data quality. These problems predate the advent of AI, but they could become more widely encoded into the fabric of the health care system if they're not corrected before AI becomes widespread. Second, privacy concerns for data collection and accuracy are a growing problem. Companies worldwide are proposing phone-based apps that track individuals' contact with those diagnosed with or recovering from the virus. One might make a compelling argument that this is justified until the pandemic ends. Yet, once the precedent is established, how do you remove that power from governments and companies? It's tempting to cast aside specific regulations and protections in an emergency. After all, it may be what is needed in the short term to protect people and save lives. Yet we must not fail to prepare for what comes after this global emergency. Adapted from "AI, Robots, and Ethics in the Age of COVID-19." . . . #MIT #MITSMR #MITSloan #MITSloanManagementReview #leadership #management #covid19 #AIethics - #regrann (en El Silencio, Distrito Federal, Venezuela) https://www.instagram.com/p/CAeGGwIHpqc/?igshid=181rxu3go5nb6