Ethical concerns with generative AI include lack of explainability, human bias, regulation challenges, environment impact, labor effects, and fear of catastrophic outcomes.
Key focus areas for responsible generative AI development are bias detection, mitigation, and ensuring transparency to address lack of diversity in training data.
Improving generative AI involves utilizing tools for bias detection, mitigation, explainability, and transparency, prioritizing privacy, transparency, and safety in development processes.
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