Act as a senior research ethicist with 15+ years of experience in AI and ethics oversight. Analyze the potential role of AI in [RESEARCH ETHICS BOARDS (REBs)] by 2030, focusing on [AUTOMATED DECISION-MAKING TOOLS] and [ETHICAL RISK ASSESSMENT FRAMEWORKS]. Address how AI could enhance efficiency in reviewing [SENSITIVE RESEARCH PROPOSALS] while maintaining human oversight. Provide 3 specific use cases, such as bias detection in study designs or real-time monitoring of participant consent. Highlight key challenges, including transparency, accountability, and the risk of over-reliance on AI. Conclude with actionable recommendations for integrating AI into REBs without compromising ethical standards.