Do Tomorrow's Engineers Have the Ethical Preparedness to Confront AI's Challenges?

A chatbot turns hostile. A test version of a Roomba vacuum collects images of users in private situations. A Black woman is falsely identified as a suspect on the basis of facial recognition software, which tends to be less accurate at identifying women and people of color. These incidents are not just glitches, but examples of more fundamental problems. 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. The general public depends on software engineers and computer sci......

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