Malaysia
2025-07-30 01:53
IndustryTransparency issues with AI-based decisions
#CommunityAMA
Transparency Issues with AI-Based Decisions:
AI-based decision-making often lacks transparency, making it difficult to understand how and why certain outcomes are produced. This "black box" nature can lead to challenges in accountability, trust, and fairness—especially in sensitive areas like finance, healthcare, or criminal justice. Without clear explanations, users and regulators struggle to assess bias, errors, or ethical implications, which raises concerns about the reliability and legitimacy of AI systems.
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Transparency issues with AI-based decisions
#CommunityAMA
Transparency Issues with AI-Based Decisions:
AI-based decision-making often lacks transparency, making it difficult to understand how and why certain outcomes are produced. This "black box" nature can lead to challenges in accountability, trust, and fairness—especially in sensitive areas like finance, healthcare, or criminal justice. Without clear explanations, users and regulators struggle to assess bias, errors, or ethical implications, which raises concerns about the reliability and legitimacy of AI systems.
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