Can AI Be Fair and Impartial?
AI should be impartial, but it can also fail that test. AI may only be as good as the data fed into it, so the old adage of “garbage in, garbage out” applies here. IT managers must be careful with data sets used in machine learning and watch for deeper biases that might be built into any off-the-shelf tools. Thorough testing in this area is critical, not only for a properly functioning system but for one that meets the needs of the local community.
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What are the Biggest Challenges to Incorporating AI?
AI has been around for a while, but it has only been practical in the past few years. This makes it challenging to implement in government settings: A lack of familiarity with AI technologies and legacy culture can stop projects before they get off the ground. IT managers can avoid early blockages with adequate training, and by selecting a starting project with off-the-shelf products that quickly show the benefits of AI.