AI Ethics, Biasness, and Reliability
Pradeepta Mishra · Apress eBooks · 2021
This chapter covers different frameworks using Explainable Artificial Intelligence (XAI) Python libraries to control biasness, execute the principles of reliability, and maintain ethics while generating predictions. As digitalization progresses touch different industries, they open up a whole new set of opportunities for the application of artificial intelligence and machine learning-related solutions. The major challenges with the adoption of these AI technologies are ethics, biasness, and the reliability of the system, plus the transparency of the processes. These AI systems raise fundamental questions. Can I trust the predictions made by the AI system? Can I assume that it is unbiased? What kind of risk does it have? Is there any process where I can control the AI systems and their predictions about the future? AI ethics focus more on the legitimate use of AI for human kind and their wellness. AI should not be used for the destruction of human civilization. In this chapter, we are going to discuss various aspects of AI.