Trust and Privacy Innovations in AI and Digital Interactions

Enhancing Trust and Privacy in AI and Digital Interactions

Recent advancements in AI and digital interactions are significantly shaping the direction of research, with a strong emphasis on enhancing trust, privacy, and user autonomy. The field is moving towards more nuanced and context-aware AI systems that accommodate ethical pluralism and customizable guardrails, ensuring responsible AI behavior. Innovations in AI design are focusing on integrating ethical standards to enhance transparency and user autonomy, addressing the evolving landscape of AI governance. Additionally, there is a growing focus on understanding and mitigating privacy risks in chatbot interactions, with studies highlighting the need for user education on privacy concepts to ensure informed decisions.

In the realm of digital interactions, particularly in mobile banking and online learning, research is advancing understanding of user behavior and preferences, emphasizing security, convenience, and interface design. These studies contribute to the development of more user-centric applications, enhancing service acceptance and effectiveness. Furthermore, the impact of anthropomorphism in AI chatbots is being explored, revealing significant correlations between the degree of anthropomorphism and users' media dependency, mediated by user satisfaction.

Noteworthy developments include the proposal of a comprehensive theoretical framework for MOOC continuance learning intention, which extends the Theory of Planned Behavior in social science accounting contexts. Additionally, the study on the influence of eye and mouth design in virtual humanoid agents on older adults' perception of trustworthiness provides valuable insights for the design of future virtual agents. Lastly, the exploration of rewards as an alternative to sanctions in promoting proactive AI accountability behavior offers a novel approach to fostering responsible AI development.

Noteworthy Papers

  • AI Ethics by Design: Proposes a customizable guardrail framework for AI systems, enhancing transparency and user autonomy.
  • Exploring the determinants on massive open online courses continuance learning intention: Extends the Theory of Planned Behavior in accounting MOOC contexts, offering practical implications for learning system design.
  • The Trusted Caregiver: Investigates the impact of facial features on trustworthiness in virtual humanoid agents, proposing a design paradigm for enhancing trust in older adults.

Sources

AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development

An Investigation of the Relationship Between Crime Rate and Police Compensation

Factors Influencing the Usage of Mobile Banking Apps Among Malaysian Consumers

Exploring the determinants on massive open online courses continuance learning intention in business toward accounting context

Exploring the Impact of Anthropomorphism in Role-Playing AI Chatbots on Media Dependency: A Case Study of Xuanhe AI

Privacy-Preserving Behaviour of Chatbot Users: Steering Through Trust Dynamics

Will an AI with Private Information Allow Itself to Be Switched Off?

The Trusted Caregiver: The Influence of Eye and Mouth Design Incorporating the Baby Schema Effect in Virtual Humanoid Agents on Older Adults Users' Perception of Trustworthiness

"What you think is private is no longer" -- Investigating the Aftermath of Shoulder Surfing on Smartphones in Everyday Life through the Eyes of the Victims

SoK: Privacy Personalised -- Mapping Personal Attributes \& Preferences of Privacy Mechanisms for Shoulder Surfing

Exploring the Impact of Rewards on Developers' Proactive AI Accountability Behavior

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