IBACTP® — International Board of AI, Cybersecurity & Technology Professionals
Artificial Intelligence Resources

AI Ethics & Governance

Build AI That Is Responsible, Accountable and Trustworthy

Artificial Intelligence creates significant opportunities—but also introduces new ethical, legal, operational, security, privacy, and societal risks.

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Build AI That Is Responsible, Accountable and Trustworthy

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Build AI That Is Responsible, Accountable and Trustworthy

Artificial Intelligence creates significant opportunities—but also introduces new ethical, legal, operational, security, privacy, and societal risks.

The IBACTP® AI Ethics & Governance Resource Center provides practical guidance for professionals responsible for developing, implementing, governing, evaluating, or overseeing AI systems.

Responsible AI

Explore the core principles supporting trustworthy AI:

It Governance Grc Board Review
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Fairness

Identify and reduce inappropriate discriminatory outcomes across AI systems.

Cloud Infrastructure Data Center
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Transparency

Ensure relevant stakeholders understand how and where AI is being used.

Handson Tech Lab Cohort
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Explainability

Develop appropriate mechanisms for understanding and communicating AI decisions.

Government Defense Cyber Briefing
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Accountability

Define responsibility for AI decisions, outcomes, controls, and oversight.

Technology governance and risk review
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Privacy

Protect personal and sensitive information throughout the AI lifecycle.

Cybersecurity Threat Intelligence Hub
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Security

Protect models, data, applications, infrastructure, and users from AI-related threats.

Remote Online Proctoring Verification
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Human Oversight

Maintain appropriate human review and intervention for consequential AI decisions.

Modern Workspace Office
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Reliability & Safety

Ensure AI systems operate consistently within intended parameters.

Data Analytics Bi Visualization Lab
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AI Governance Framework

IBACTP® recommends viewing AI governance as an enterprise lifecycle rather than a single compliance activity.

More in this section
1. Govern Read this

Establish policies, roles, accountability, oversight, and governance structures.

2. Identify Read this

Maintain visibility into AI systems, use cases, vendors, data, models, and dependencies.

3. Assess Read this

Evaluate risk, privacy, cybersecurity, bias, compliance, performance, and potential impact.

4. Control Read this

Implement technical, organizational, procedural, and contractual safeguards.

5. Monitor Read this

Continuously evaluate AI behavior, model performance, risk indicators, incidents, and changes.

6. Report Read this

Provide appropriate governance reporting to executives, boards, regulators, customers, and other stakeholders.

7. Improve Read this

Use monitoring, incidents, audits, regulatory developments, and organizational learning to strengthen governance.

AI Governance Resource Topics Read this
  • AI governance committees
  • AI policies
  • AI acceptable-use policies
  • AI inventories
  • AI risk classification
  • Algorithmic impact assessments
  • AI vendor assessments
  • Model cards
  • Data governance
  • AI privacy assessments
  • AI security assessments
  • AI auditing
  • AI assurance
  • Human-in-the-loop controls
  • AI incident management
  • Regulatory readiness
  • Board-level AI oversight

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Artificial Intelligence Resources

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