How can AI become biased? 2 papers investigate:
Joy Buolamwini show that AI has a higher error rate when recognizing darker-skinned female faces: http://bit.ly/2C2pxT9
IBM responds to their paper, explaining how they reduced that error: http://bit.ly/2C82u9n #TechRec
✴️ @AI_Python_EN
Joy Buolamwini show that AI has a higher error rate when recognizing darker-skinned female faces: http://bit.ly/2C2pxT9
IBM responds to their paper, explaining how they reduced that error: http://bit.ly/2C82u9n #TechRec
✴️ @AI_Python_EN
How can AI become biased? 2 papers investigate:
Joy Buolamwini et al show that AI has a higher error rate when recognizing darker-skinned female faces: http://bit.ly/2C2pxT9
IBM responds to their paper, explaining how they reduced that error: http://bit.ly/2C82u9n #TechRec #ArtificialIntelligence
✴️ @AI_Python_EN
Joy Buolamwini et al show that AI has a higher error rate when recognizing darker-skinned female faces: http://bit.ly/2C2pxT9
IBM responds to their paper, explaining how they reduced that error: http://bit.ly/2C82u9n #TechRec #ArtificialIntelligence
✴️ @AI_Python_EN
Coloring massive graphs is a notoriously difficult problem to solve…Deep reinforcement learning to the rescue! Jiayi Huang et al use a novel architecture (FastColorNet) to learn new state of the art heuristics for graph coloring: https://lnkd.in/gcE8cWz #TechRec
✴️ @AI_Python_EN
✴️ @AI_Python_EN