Intentionality is a Design Decision: Measuring Functional Intentionality for Accountable AI Systems
📰 ArXiv cs.AI
Learn to measure functional intentionality in AI systems for accountability, applying a 5-criteria framework to ensure responsible AI design
Action Steps
- Define intentionality as a behavioral profile with 5 criteria: purpose, foresight, volition, temporal commitment, and coherence
- Apply the framework to AI systems to detect the degree of intentional behavior
- Evaluate AI systems using the 5 criteria to ensure accountability and governance
- Use the results to inform AI system design decisions, prioritizing transparency and explainability
- Implement mechanisms for monitoring and auditing AI systems to ensure ongoing accountability
Who Needs to Know This
AI researchers, engineers, and ethicists benefit from this framework to develop accountable AI systems, ensuring transparency and trust in autonomous decision-making
Key Insight
💡 Intentionality in AI systems can be measured and designed for, using a framework that prioritizes transparency, explainability, and accountability
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🤖 Measure AI intentionality with a 5-criteria framework for accountable AI systems #AIethics #Accountability
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