From the course: Foundations of Responsible AI
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Bias in the design and development lifecycle
From the course: Foundations of Responsible AI
Bias in the design and development lifecycle
- One of the reasons bias is exhibited in the design and development life cycle is because of how we train budding new computer scientists. Most students in the top computer science programs across the country don't receive lectures on ethics, technology and society, or digital privacy, despite coursework on the ethics of technology emerging in the '70s and '80s. For those who are required to take an ethics course, it's often a single class that's taught separately and towards the end of an academic program. This method is common but teaches students how to debate ethical dilemmas and not how to operationalize those morals into technic solutions. This results in poor human decisions when it comes to assumptions about what a model can or can't do. Infamously, there's been research that investigates a person's criminality based on their facial features. Not only is this construct invalid as there's no correlation…
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