The biggest problem today with artificial intelligence is destroying human trust

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.

Striking photograph showing a human hand extended towards a robotic hand, almost touching but with an empty space between them. It represents the trust gap between technology and people, in line with Proportione's vision. Ideal for content addressing the relationship between humans and artificial intelligence.

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

Striking image showing an unbalanced scale with a human brain on one pan and an artificial intelligence chip on the other. It represents the tension and imbalance between human and artificial intelligence, especially in matters of trust, under the vision of Proportione.

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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  1. 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). ↩︎

4 responses to “The biggest problem today with artificial intelligence is destroying human trust”

  1. Jacoba

    I agree! AI can be useful, but human trust is irreplaceable.

    1. To name a few, we could consider the following activities that, according to various studies and articles, are still considered irreplaceable by AI:

      Ethical Decision Making: AI lacks a moral and ethical framework, making it unsuitable for making decisions that require ethical judgment. A McKinsey article highlights how ethics are crucial in business decision making.
      Creativity and Innovation: AI can generate content based on existing data, but lacks the capacity for genuine creativity. A Wired article points out that human creativity remains irreplaceable.
      Empathy and Medical Care: Although AI can help in diagnostics, empathy and human touch are crucial in patient care. A study published in Google Scholar highlights the importance of empathy in medicine.
      Complex Negotiation: AI can analyze data and patterns, but it cannot understand the subtleties of human negotiation that often involve emotions and interpersonal relationships. Bain & Company has published on how negotiation skills are key in the business world.
      Contextual Understanding: AI often lacks the ability to understand the context in which words or actions are used, something that is crucial in fields such as diplomacy and politics. A TechCrunch article discusses how context is crucial to understanding the complexities of the real world.
      These activities underscore the importance of human trust in areas where AI cannot yet act effectively. The combination of human and AI capabilities could be the key to addressing the complex challenges we face.

  2. Sarisha Mota

    I don't think artificial intelligence destroys our confidence, on the contrary, it can strengthen it! 🤖💪 #CreoEnLaIA

    1. Trust in artificial intelligence (AI) is a complex and multifaceted issue. In fact, studies suggest that user personality may play a crucial role in the trust placed in AI systems. In addition, factors such as empathy and interaction in AI can influence customer trust.

      However, it is important to keep in mind that AI also presents potential risks to human trust. Daniel Dennett, an eminent university professor, warns that 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.