Artificial Intelligence (AI) Strategy Document

An Artificial Intelligence (AI) Strategy Document is an IT strategy document that captures an AI strategy.

• Context:
  • It can (typically) contain AI Strategy Document Sections, such as:
    • AI Strategy Executive Summary: Brief overview of the document's purpose and content.
    • AI Strategy Introduction: Background and the importance of AI for the organization.
    • AI Strategy Objectives & Goals: Articulation of organizational AI ambitions.
    • AI Strategy Current State Analysis: Overview of existing AI capabilities.
    • AI Strategy Focus Areas: Detailed areas of AI concentration and impact.
    • AI Strategy Ethical Considerations: Ethical AI development and usage guidelines.
    • AI Strategy Data Strategy: Overview of data-related plans and management.
    • AI Strategy Technology & Infrastructure: Tools, platforms, and hardware considerations.
    • AI Strategy Talent & Skill Development: Strategies for training and hiring in AI.
    • AI Technology and Capability Roadmap: Outlines the planned development and adoption of AI technologies and capabilities over time.
    • AI Development Strategy: Focuses on the approach to creating, implementing, and managing AI systems.
    • AI Strategy Implementation Roadmap: Phased approach to achieving objectives.
    • AI Strategy Risk Assessment & Management: Potential risks and their mitigation strategies.
    • AI Strategy Monitoring & Evaluation: Metrics and review processes for AI initiatives.
    • AI Strategy Conclusion & Next Steps: Recap and proposed actions.
  • …
• Example(s):
  • an Organization-Specific AI Strategy Document, such as a Bank of America AI Strategy Document.
  • …
• Counter-Example(s):
  • a Data Strategy Document.
  • a Cloud Strategy Document.
• See: AI Governance.

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References

2024

• (GPT-4, 2024) ⇒ ChatGPT-4. (2024). "An AI strategy document typically encompasses several key sections to ensure a comprehensive approach." In: OpenAI Chat.
  • An AI strategy document typically encompasses several key sections to ensure a comprehensive approach. Here's a summary of the common sections found in such documents:
    1. **Vision and Core Purpose**: This initial section outlines the organization's overarching goals and how AI aligns with its mission and strategic objectives. It serves as a foundation, setting the direction for AI initiatives.
    2. **AI Governance and Ethics**: Establishing principles for responsible AI use is crucial. This section details the governance structures, ethical guidelines, and compliance measures to manage AI deployment effectively and ethically.
    3. **AI Opportunities**: Identifying and prioritizing AI projects based on their strategic importance and potential impact on the organization is covered here. This involves a detailed analysis of potential AI applications and their implications for business processes and services.
    4. **Implementation Plan**: This practical section outlines the steps, resources, timelines, and responsibilities required to execute the AI projects. It includes technical infrastructure needs, staffing, and budget considerations.
    5. **Risk Management and Legal Considerations**: Given the complexities associated with AI, this section focuses on identifying potential risks, including legal, regulatory, and operational challenges, and proposing strategies to mitigate them.
    6. **Performance Metrics and Evaluation**: To measure the success of AI initiatives, this section defines key performance indicators and sets up mechanisms for ongoing evaluation and adjustment of AI strategies.

2024

• "Toolkit Note: AI Strategies." OECD Going Digital. Accessed April 21, 2024. [1](https://goingdigital.oecd.org/data/notes/No14_ToolkitNote_AIStrategies.pdf).

2024

• "National AI Strategy." GOV.UK. Last updated December 18, 2022. [2](https://www.gov.uk/government/publications/national-ai-strategy).

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