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Briefly introduce the growing adoption of AI in PCBA testing and its potential benefits.
Discuss the ethical issues that arise with AI-powered testing systems:
Bias and discrimination: Training data used for AI models may contain biases that can lead to unfair or inaccurate test results.
Transparency and explainability: The complex nature of AI algorithms can make it difficult to understand how they reach decisions, raising concerns about accountability.
Job Displacement: Increased automation through AI could lead to job losses in PCBA testing roles.
#PCBAssembly #Testing #AI #Ethics #ResponsibleDevelopment
Benefits of AI in PCBA testing, ethical concerns around AI, bias and discrimination in AI models, issues with transparency and explainability, potential job displacement
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Tekthrill The AI
Tekthrill Future of AI
Keyur Kuvadiya
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