Exploring Bias and Fairness in AI: The Need for Comprehensive Testing Frameworks | HackerNoon
Briefly

AI software can generate erroneous outputs leading to fatal accidents, prompting the need for methods like adversarial examples to test reliability.
NLP software validation methods focus on correctness, toxicity, and fairness, emphasizing the importance of assessing reliability in various domains.
Read at Hackernoon
[
]
[
|
]