The basic roles and responsibilities of AI project managers скачать в хорошем качестве

The basic roles and responsibilities of AI project managers

Roles and Responsibilities of AI Managers AI managers oversee the entire AI lifecycle to ensure systems deliver business value while remaining ethical, compliant, and reliable. Their role is governance and coordination—not model building. Business Case & Planning: Define the problem, confirm AI is appropriate, set success metrics, assess feasibility, risks, costs, and align stakeholders. Data Preparation & Governance: Ensure data is legally sourced, high quality, well-documented, unbiased, and handled securely, with full traceability. Model Selection & Oversight: Validate that model choices align with business risk, interpretability needs, performance, cost, and regulatory requirements, with clear justification of trade-offs. Training & Evaluation: Oversee controlled training, evaluation, and validation processes, ensuring reproducibility, fairness, robustness, and independent review. Deployment & Operations: Approve safe deployment, enforce version control and security, monitor performance and fairness over time, manage changes, and retire models responsibly. AI managers connect business, technology, and governance to ensure AI systems are trustworthy, auditable, and sustainable from conception through ongoing operations.