Trust in AI: A Major Challenge Facing Artificial Intelligence
Subtle nuances of language critical
As AI becomes more powerful, it faces a major trust problem. The framework positions trust in general and trust in AI specifically as a problem of interaction among systems and applies systems thinking. The Caltech Science Exchange spoke with AI researchers at Caltech about what it might take to trust AI.
Factors Influencing Trust in AI
The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI).
- Transparency: Understanding how AI works and the data it uses is crucial for building trust.
- Reliability: AI systems must consistently perform as expected to earn trust.
- Safety: AI systems must be safe and not harm humans or their interests.
- Accountability: Individuals responsible for developing and deploying AI systems must be held accountable for their actions.
According to a Capgemini Research Institute study published in June 2023, 73% of consumers worldwide say they trust content created by AI-powered chatbots.
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