‘Bias deep inside the code’: the problem with AI ‘ethics’ in Silicon Valley

By: | March 31, 2019

According to the Guardian, “Major tech corporations have launched AI “ethics” boards that not only lack diversity but sometimes include powerful people with interests that don’t align with the ethics mission. The result is what some see as a systemic failure to take AI ethics concerns seriously, despite widespread evidence that algorithms, facial recognition, machine learning, and other automated systems replicate and amplify biases and discriminatory practices. Based on this and other research humanity cannot anticipate that big data, will eliminate identity-based disparities but potential bury them deep within the code, both mirroring and perpetuating the conscious and unconscious bias many endure based on the cultural dimensions. Read more

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