Bias
People are biased – that’s just a fact. The problem is that these biases have crept into artificial intelligence and machine learning technologies. Harrisburg University researchers are claiming they can use facial recognition to predict criminality. Yet an MIT study found that facial recognition software falsely identified African-American and Asian faces ten to 100 times more than Caucasian ones. IBM is taking the issue seriously. Besides creating an AI ethics board and releasing open source toolkits such as AI Fairness 360 to combat bias, in June 2020 the company also stopped offering its software for mass surveillance or racial profiling.
— Wayne Visser
More on Technology & Innovation
Bio-Rules
What can we learn from the Earth’s 3.8 billion years of experimentation? Besides the great innovation work emerging from biomimicry, I like professor Gregory Unruh’s…
Economy · Technology & Innovation
Bioprinting
3D printing is taking another leap forward with bioprinting: literally printing three-dimensional living objects. One of the pioneers, Inventia Life Science, is printing living cells…
Economy · Technology & Innovation
Bioprocessor
Wouldn’t it be great if there was a system that could sustainably generate fuels, replenish our damaged soils, reclaim water and grow nutritious food, all…
Economy · Technology & Innovation
From Purpose Inspired: Reflections on Conscious Living, Volume 4. Buy on Lulu ↗