How does AI make decisions? Insight into explainability and transparency! Part 5 #ai #viral

Discuss the concept of /"black box/" AI models and the challenges in understanding their decision-making processes.
Explain the importance of explainable AI (XAI) for:
Trust and responsibility: People need to understand how AI systems make decisions, especially in critical areas such as loan approval or criminal justice.
Detect and mitigate bias: Explain how opaque AI models can perpetuate hidden biases in the data they are trained on. XAI helps identify and address these biases.
Improving AI development: By understanding how AI models work, developers can improve their algorithms and performance.

#AI #ExplainableAI #Transparency #AIethics #ResponsibleAI

Explainable AI (XAI) for trust and accountability, XAI for bias detection, XAI for improving AI development

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