Ethical AI Resources for Media

A curated list of resources for media that aligns with AAM's Eight Pillars of Ethical AI.

As artificial intelligence becomes more integrated into media operations, publishers face both exciting opportunities and new ethical challenges.

To support responsible implementation, we’ve curated list of resources for media that aligns with AAM’s Eight Pillars of Ethical AI. These tools equip publishers with the knowledge and strategies needed to innovate with transparency. Whether you're developing an AI usage policy, training staff or evaluating risk and governance frameworks, these resources provide a roadmap for building audience trust and maintaining editorial accountability. This list will be continuously updated to provide the most current resources and information.

 

 1. Ethical Guidelines and Standards

Establish and maintain clear, regularly updated AI policies that support fairness, accountability and editorial integrity.

 

2. Transparency and Disclosures

Communicate AI use clearly at both a policy and content level to maintain audience trust.

 

3. Rights and Permissions

Ensure content generated or influenced by AI respects intellectual property and legal content sourcing.

 

4. Accountability and Human Oversight

Maintain a “human-in-the-loop” process with clearly assigned oversight roles.

 

5. Bias and Fairness

Implement systems to identify and address bias in AI-generated or curated content.

 

6. Privacy and Data Protection

Ensure AI tools comply with data protection laws and ethical data practices.

 

7. Training and Education

Provide continuous learning opportunities to foster responsible AI use across teams.

 

8. Risk Management and Adaptation

Develop systems to assess, monitor and address AI-related risks.

 

Learn more about AAM’s Ethical AI Certification program.