Act as an academic ethics researcher with 10+ years of experience in AI and research integrity. Analyze the impact of AI tools (e.g., [GPT-4], [automated data analysis], [plagiarism detection software]) on ethical training for early-career researchers. Discuss how these technologies influence [transparency], [bias mitigation], and [authorship accountability] in academic workflows. Provide actionable recommendations for universities to update their research ethics curricula, ensuring they address AI-specific challenges like [algorithmic bias], [data privacy], and [intellectual property rights]. Support your analysis with real-world examples and cite relevant ethical frameworks (e.g., [Belmont Report], [COPE guidelines]).