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  • How transparency modulates trust in artificial intelligence
    Here, we briefly review the literature on how perceiving an AI make mistakes violates trust and how such violations might be repaired In doing so, we discuss the role played by various forms of algorithmic transparency in the process of trust repair
  • Developing trustworthy artificial intelligence: insights from . . .
    Recognizing how individual characteristics influence trust in AI can guide the development of personalized and adaptive AI interaction strategies These strategies, tailored to meet the specific needs and preferences of diverse users, can foster a sustained and appropriate trust in AI
  • Building Trust In AI: Overcoming Bias, Privacy And . . .
    Ethical Challenges: With AI’s growing integration, critical issues like bias, data privacy, and transparency require urgent attention Risk of Neglect : Ignoring these challenges could lead to public mistrust, legal repercussions, and unintended societal harm
  • How transparency modulates trust in artificial intelligence
    An important set of questions for those designing human-AI interfaces concerns trust, transparency, and error tolerance Here, we review the emerging literature on this important topic, identify open questions, and discuss some of the pitfalls of human-AI team research
  • Trust in AI: progress, challenges, and future directions
    Moreover, we examine major trust-breakers in AI (e g , autonomy and dignity threats) and trustmakers; and propose some future directions and probable solutions for the transition to a
  • Understanding Human Perception and Trust in AI - AZoAi
    Human perception and trust in AI are influenced by factors such as transparency, explainability, reliability, and cultural norms Transparency in AI decision-making processes fosters trust, while personalization and user control enhance reliability
  • Building Trust with AI: Transparency, Explainability, and . . .
    From self-learning chatbots to complex decision-making algorithms, today’s AI must do more than perform well — it must earn our trust Here’s 1 Why Trust in AI Matters When AI systems





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