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A University of Michigan study found white men who experience harassment in their workplace are more likely to recognize and report incidents of bias experienced by their colleagues.
The people who are designing, testing and fine-tuning this technology are the public's first line of defense.
The people who are designing, testing and fine-tuning this technology are the public's first line of defense.
As artificial intelligence and machine learning tools become more integrated into daily life, ethical considerations are growing, from privacy issues and race and gender biases in coding to the spread of misinformation.
Ethics is often neglected in engineering education, two researchers write, despite mounting questions about how to responsibly design artificial intelligence programs.