my notes ( ? )
“death by PowerPoint,”... sucks the life and energy out of ... meetings... spreadsheets rife with errors and macro miscalculations. Email and chat facilitate ... inbox overload ... So what makes artificial intelligence/machine learning (AI/ML) champions confident that their technologies will be immune to comparably counterproductive outcomes? ...
likelier to inspire false and/or misplaced confidence in their findings; to amplify or further entrench data-based biases; and to reinforce — or even exacerbate — the very human flaws of the people who deploy them...
Algorithms are, in part, our opinions embedded in code... There may even be biases in detecting biases... To think that most managers will reap real value from AI/ML platforms with minimal training is ... delusional.. .The more data resources that organizations possess, the more disciplined supervision and oversight that active AI/ML will need. Smarter algorithms require smarter risk management... embrace “data governance”... publicly enact three interrelated initiatives to mitigate risks:...
use repositories that encourage people and teams to post their data sets and models for review... expand enterprise-wide awareness without constraining bottom-up initiative...
Read the Full Post
The above notes were curated from the full post
hbr.org/2018/01/is-murder-by-machine-learning-the-new-death-by-powerpoint.