Artificial Stupidity: Data We Need to Make Machines Our Equals.

Area of Science:

• Human-Computer Interaction
• Artificial Intelligence
• Data Science

Background:

• AI systems require an understanding of human limitations for optimal performance and safety.
• Current AI development lacks standardized data on human physical and cognitive limits.

Discussion:

• The absence of comprehensive human limitation data hinders AI's ability to provide reliable service.
• Establishing common data formats is crucial for aggregating and sharing this information.

Key Insights:

• Standardized datasets on human limitations are essential for advancing AI research and application.
• Accessible data empowers AI researchers to integrate human-centric constraints into their models.

Outlook:

• Future AI development hinges on the creation and adoption of shared human limitation metrics.
• Collaboration within the data science community is vital for building these foundational datasets.