P2P

60 legal context and requirements to the technical team. • Engage leadership early on to secure buy-in for investments in responsible AI practices. Present the business case for responsible AI, highlighting the ethical and practical benefits. EDUCATION AND TRAINING Equipping legal professionals and technologists with knowledge is crucial for responsible AI implementation. • AI Ethics Training for Legal Professionals: Lawyers should receive training on AI ethics, bias, professional responsibility (including the duty of competence and confidentiality), and the impact of AI on legal decision-making. • Technical Training for Legal Technologists: Legal technologists need training on bias detection techniques, mitigation strategies (including fairness-aware machine learning), and XAI. • Impact of AI: The legal workforce must understand the potential for job displacement and the importance of upskilling in AI-related areas. • Continuing Education and Awareness: Promote ongoing education through workshops, online resources (like those provided by NIST and the Partnership on AI), and industry publications. AI GOVERNANCE • Existing Frameworks and Guidelines: Various organizations are establishing standards. Key examples include RAILS (Responsible AI in Legal Services), which promotes responsible AI use in legal services; the NIST AI Risk Management Framework (AI RMF), a voluntary framework for managing AI risks; and the Responsible AI Impact Assessment (RAIIA), which helps evaluate the impact of AI on people, organizations and society. • Presidential AI Executive Order: The recent Executive Order on AI emphasizes removing barriers to American leadership in AI. Legal technologists must review this order and ensure their practices align with the new policy direction, particularly regarding innovation and avoiding ideological bias. • Legal and Ethical Guidelines: Adherence to ethical principles (fairness, transparency, accountability) and compliance with legal frameworks (like the ABA Model Rules and the EU AI Act) are paramount. The EU AI Act, in particular, incorporates principles to reduce bias, such as training data governance, human oversight, and transparency. • Industry Standards: Legal technologists should contribute to developing and adopting standards with organizations like IEEE and ISO. The International Organization for Standardization (ISO) defines responsible AI as prioritizing safety, trustworthiness, and ethical considerations. EU AI The EU view onlne

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