Exploring AI Ethics: Can We Build Fair and Transparent AI Models?
Exploring AI Ethics: Can We Build Fair and Transparent AI Models? Artificial Intelligence (AI) is transforming industries, from healthcare to finance, by making intelligent decisions at a scale that is not humanly possible. Yet with such power comes great responsibility—ensuring AI models are equitable, transparent, and ethical is a significant challenge. With AI continuing to evolve, the question on everyone's mind is: Can we truly create AI models that are both fair and transparent? Understanding AI Bias and Fairness AI bias occurs when machine learning models produce prejudiced results due to biased training data or flawed algorithms. These biases can manifest in various ways: Data Bias: If a dataset is not diverse enough, the AI model may develop biases against underrepresented groups. Algorithmic Bias: Certain algorithms might favour specific outcomes, reinforcing existing societal inequalities. Human Bias: AI models learn from human-created data, meaning they can inherit bias...
