The greatest current AI issue is bias. AI tends to be trained on large amounts of data, which could be the expression of biases in the data. The issue has been increasingly exposed in areas such as hiring, criminal justice, and finance. As we build more AI tech solutions, we must realize that biases in data can lead to discriminatory outcomes.
For example, facial recognition systems are shown to make more false matches with individuals from minor groups than the remainder of the population. AI-based recruitment aid, not developed in a thoughtful way, might end up unwittingly giving undue advantages to one group relative to another. These present problems with artificial intelligence might eventually cause damage in the real world and fuel inequality.
https://biphoo.ca/mohammed-alothman-breaks-down-the-current-problems-with-artificial-intelligence
https://biphoo.ca/mohammed-alothman-breaks-down-the-current-problems-with-artificial-intelligence
