Relevance of  of  HCAI

Addressing Trust Deficits in AI

• AI systems often lack user trust due to their complexity. HCAI makes systems transparent and explainable through interpretable interfaces, particularly in critical fields like medicine and finance.

• Trust in AI requires both technical reliability and social accountability, especially as these systems impact major life decisions.

Tackling Unintended Consequences of Automation

• Autonomous systems can fail catastrophically without oversight, as seen in aviation and financial markets.

• HCAI emphasizes human control and oversight to prevent these risks.

Fostering Adoption and Engagement

• Human-centric design increases adoption by aligning with user needs and expectations.

Ethical and Social Implications

• HCAI addresses bias, fairness, and privacy concerns through ethical design principles.

Augmenting, Not Replacing, Human Abilities

• HCAI enhances human capabilities rather than replacing them, as seen in medical diagnostics where AI supports rather than substitutes doctors.