Can we really trust artificial intelligence?
Confidence in artificial intelligence (AI) is a topic that has captured the imagination of philosophers, scientists and business leaders alike. But is this confidence an act of blind faith or a rational calculation based on empirical evidence? The answer, as is often the case with most complex issues, is a bit of both.
Trust in the age of AI: a pillar at risk
Daniel Dennett, an eminent university professor, warns that the most pressing problem of artificial intelligence is not job loss or war, but the potential to destroy human trust. In an increasingly digitized world, AI could lead us to a scenario where distinguishing truth from falsehood becomes an increasingly complex task. This deterioration of trust could erode the foundations of our civilization, highlighting the need to address this issue with urgency.
Consciousness: a product of evolution
Dennett has devoted much of his career to demystifying consciousness. Contrary to the popular notion that consciousness is a magical or divine phenomenon, Dennett argues that it is a product of natural selection. This approach invites us to reconsider how we understand our own existence and how we interact with emerging technologies such as AI.
Philosophy as a practical discipline
For Dennett, philosophy is not just an academic subject, but a practical discipline that helps people think clearly. In this sense, he argues that if you can't explain your philosophical ideas to bright undergraduates, you probably won't understand them yourself. This perspective highlights the importance of effective communication and critical thinking, essential skills in an increasingly complex world.
Daniel Dennett's ideas on artificial intelligence and consciousness offer us a valuable perspective for navigating the ethical and philosophical challenges of our age. His approach reminds us that, beyond the technology, what really matters is how it affects the human condition and the social structures we maintain.
Personality and confidence in AI
A recent study entitled "Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions" suggests that user personality plays a crucial role in the trust placed in AI systems. This raises fascinating questions about whether our personal predispositions make us more or less likely to trust technology. PDF
Human biases and initial confidence
Another study, "Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians," explores how human biases affect initial trust in AI, especially in the clinical setting. This suggests that our trust in AI is not purely rational, but is influenced by our own limitations and biases. PDF
Empathy and interaction
Trust is also affected by how we perceive AI. A study entitled "Investigating customer trust in artificial intelligence: the role of anthropomorphism, empathic response, and interaction," shows that certain AI features, such as empathy and interaction, can influence customer trust. PDF
Explainability1 in AI
Finally, explainability in AI is another crucial factor. The article "Explainable Artificial Intelligence: Assessing the Objective and Subjective Impacts of Explainable AI on Human-Agent Interaction" evaluates how different methods of explainability in AI affect human-agent interaction. PDF
What to do?
Trust in AI is a complex issue that involves both faith and rational calculation. As we move into an increasingly digitized future, it is crucial that we address these issues in an open and transparent manner. Only then will we be able to take full advantage of the opportunities that AI has to offer, without falling into the traps of complacency or unfounded skepticism.
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- Thus, interpretability, or explainability, would refer to the "interpretability" of a product or service.ability to explain or present AI systems in human-understandable terms" (Doshi-Velez and Kim, 2017). ↩︎