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Building Ethical AI: Washington’s Accountability Framework for AI Bias
Co-Founder Taliferro
Co-Founder Taliferro
The rise of generative AI (Gen AI) is reshaping industries, offering remarkable opportunities but also raising pressing questions about ethics, equity, and transparency. In response, Washington state issued Executive Order 24-01, mandating the creation of guidelines to ensure the responsible and equitable use of AI technologies. Taliferro was proud to work alongside the Office of Equity to support this important initiative.
This article highlights our role in advancing ethical AI in Washington, including contributions to the Generative AI Accountability Framework and a Community Engagement Plan designed to center fairness and transparency in AI governance.
Executive Order 24-01 established a clear vision for responsible AI use by emphasizing:
Taliferro collaborated with state agencies to align on these priorities, bringing technical expertise and a commitment to equity-driven solutions.
At the heart of this initiative lies the Generative AI Accountability Framework, which provides ethical and operational guidance for the state's use of AI. Some key components include:
By embedding these principles, the framework sets the stage for equitable AI governance and accountability.
The Community Engagement Plan reflects the state's commitment to listening and responding to its residents. Through methods like public forums, surveys, and focus groups, the plan ensures that policies reflect the lived experiences of Washington's diverse populations.
Special emphasis was placed on engaging Tribal governments, incorporating their perspectives into discussions about AI's impact on education, resource management, and more.
For a broader look at how marginalized communities can be excluded by AI systems—and what to do about it—see Digital Gentrification: When AI Doesn’t See Us.
This initiative brought together multiple agencies and stakeholders to create a unified vision for AI in Washington. Each partner contributed unique expertise, from technology implementation to workforce readiness.
Lessons learned from the process include the importance of collaboration, flexibility in responding to evolving needs, and maintaining transparency to foster trust.
The Generative AI Accountability Framework and Community Engagement Plan mark important milestones in the journey toward ethical AI governance. Next steps include:
These efforts position Washington as a leader in equitable AI use, setting an example for others to follow. For practical tools businesses are exploring today, see 10 Hot Business AI Tools for the Midmarket.
Taliferro's partnership with the Office of Equity represents a shared commitment to advancing algorithmic justice and digital equity. By contributing to Washington's AI framework, we've helped lay the foundation for a future where technology serves everyone fairly and transparently.
We look forward to continuing this work, helping organizations navigate the complex intersection of technology and ethics while keeping fairness at the forefront.
Below are quick answers to common questions about AI bias and Washington’s accountability framework.
AI bias refers to systematic and unfair outcomes produced by algorithms. It can arise from training data, model design, or deployment context and often impacts marginalized groups the most.
The framework embeds fairness reviews, oversight mechanisms, and community engagement. Agencies assess risk, document decisions, and implement mitigation steps before and after deployment.
Adopt bias testing and monitoring, diversify training data, document model lineage, and include impacted communities in design and evaluation.
Inclusive engagement surfaces real-world harms and edge cases early, improving policy quality and model reliability while building public trust.
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