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AI Governance for Organizations

Explore best practices AI governance, delve into a comprehensive body of knowledge, and establish robust frameworks using our templates.

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Defining the purpose of AI Governance

AI governance refers to the set of policies, processes, and controls established by organizations to ensure responsible and ethical development, deployment, and management of artificial intelligence (AI) systems. It encompasses a comprehensive framework that addresses various aspects of AI, including data privacy, transparency, accountability, fairness, security, and compliance with relevant regulations.

AI Governance for Organizations

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Data-Centric Governance

Data-Centric Governance

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  • Sean McGregor, Jesse Hostetler

Papers & Research

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Topic Overview

Transparency on the Use of AI and AI Systems

Ensuring that individuals are aware and can make informed decisions

Transparency | Appropriate information is provided to individuals impacted by the AI system

Understanding How AI Models Reach Decisions

Ensuring AI operation/results are explainable, accurate, and consistent

Explainability

Understand and interpret what the AI system is doing

Repeatability / Reproducibility

AI results are consistent: Be able to replicate an AI system’s results by the owner / 3rd-party.

Safety & Resilience of AI System

Ensuring the AI system is reliable and will not cause harm

Safety

AI system is safe: Conduct impact/risk assessment; Known risks have been identified/mitigated

Security

AI system is protected from unauthorized access, disclosure, modification, destruction, or disruption

Robustness

AI system can still function despite unexpected inputs

Fairness / No Unintended Discrimination

Ensuring that the use of AI does not unintentionally discriminate

Fairness

No unintended bias: AI system makes the same decision even if an attribute is changed; Data used to train model is representative

Data Governance

Good governance practices throughout the data lifecycle

Management and Oversight of AI System

Ensuring human accountability and control

Accountability

Proper management oversight of AI system development

Human Agency & Oversight

AI system designed in a way that will not decrease human ability to make decisions

Inclusive Growth, Societal & Environmental Well-being

Beneficial outcomes for people and the planet

Frequently Asked Questions (FAQ)

AI Governance refers to the system of rules and procedures that an organization adheres to when developing or implementing AI technologies. It includes principles and guidelines to ensure ethical use, accountability, transparency, and regulatory compliance.

AI Governance is crucial as it helps manage the risks associated with AI usage, such as bias, privacy infringement, and decision transparency. It also ensures ethical standards and legal compliance, and fosters public trust in the organization’s AI systems.

AI Governance includes strategies to identify and mitigate bias in AI algorithms, promoting fairness and avoiding discriminatory outcomes.

Explainability ensures that AI models’ decisions are understandable. AI Governance frameworks may emphasize transparent and interpretable AI systems.

AI Governance involves implementing measures like anonymization and data encryption to safeguard individuals’ privacy when utilizing AI technologies.

Effective AI Governance stays current with technological advancements, requiring continuous updates to policies, guidelines, and compliance measures.

Organizations establish communication channels, training programs, and monitoring mechanisms to ensure all departments comply with AI Governance standards.

AI Governance encourages collaborative efforts between humans and AI technologies, fostering a symbiotic relationship that leverages the strengths of both.

AI Governance frameworks should include protocols for addressing ethical challenges, providing guidance on responsible decision-making when faced with moral dilemmas.