Machine Learning, Convergence Digitalization, and the Concentration of Power: Enslavement by Design Using Techno-Biological Behaviors

Michael, Katina; Michael, M.G.; Perakslis, Christine; Pitt, Jeremy

doi:10.1109/tts.2022.3179756

Cited by 12 publications

(10 citation statements)

References 72 publications

(62 reference statements)

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“…The end-user will not have full control over their data. This would create an imbalance of power causing further fairness issues in cyber societies [1].…”

Section: Ai Literacy and Epistemicmentioning

confidence: 99%

Deceptive AI Ecosystems: The Case of ChatGPT

Zhan

Xu²,

Sarkadi

2023

Proceedings of the 5th International Conference on Conversational User Interfaces

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ChatGPT, an AI chatbot, has gained popularity for its capability in generating human-like responses. However, this feature carries several risks, most notably due to its deceptive behaviour such as offering users misleading or fabricated information that could further cause ethical issues. To better understand the impact of ChatGPT on our social, cultural, economic, and political interactions, it is crucial to investigate how ChatGPT operates in the real world where various societal pressures influence its development and deployment. This paper emphasizes the need to study Chat-GPT "in the wild", as part of the ecosystem it is embedded in, with a strong focus on user involvement. We examine the ethical challenges stemming from ChatGPT's deceptive human-like interactions and propose a roadmap for developing more transparent and trustworthy chatbots. Central to our approach is the importance of proactive risk assessment and user participation in shaping the future of chatbot technology. CCS CONCEPTS• Human-centered computing → Natural language interfaces; HCI theory, concepts and models.

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“…The end-user will not have full control over their data. This would create an imbalance of power causing further fairness issues in cyber societies [1].…”

Section: Ai Literacy and Epistemicmentioning

confidence: 99%

Deceptive AI Ecosystems: The Case of ChatGPT

Zhan

Xu²,

Sarkadi

2023

Proceedings of the 5th International Conference on Conversational User Interfaces

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“…For instance, research suggests that users spend an average of 73 seconds reading privacy policies and that 'gotcha clauses' were missed by the majority (98%) of users [38]. Other dark patterns of design rely on behavioral nudges, such that designers use cognitive biases to their advantage rather than the users' [39], [40]. By using default settings that advantage an organization, users might engage in behaviors and provide data that are against their interests [41].…”

Section: A Biases In Judgments and Decision-makingmentioning

confidence: 99%

Designing AI Using a Human-Centered Approach: Explainability and Accuracy Toward Trustworthiness

Schoenherr

Michael

Rivas

et al. 2023

IEEE Trans. Technol. Soc.

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One of the major criticisms of Artificial Intelligence is its lack of explainability. A claim is made by many critics that without knowing how an AI may derive a result or come to a given conclusion, it is impossible to trust in its outcomes. This problem is especially concerning when AI-based systems and applications fail to perform their tasks successfully. In this Special Issue Editorial, we focus on two main areas, explainable AI (XAI) and accuracy, and how both dimensions are critical to building trustworthy systems. We review prominent XAI design themes, leading to a reframing of the design and development effort that highlights the significance of the human, thereby demonstrating the importance of human-centered AI (HCAI). The HCAI approach advocates for a range of deliberate design-related decisions, such as those pertaining to multi-stakeholder engagement and the dissolving of disciplinary boundaries. This enables the consideration and integration of deep interdisciplinary knowledge, as evidenced in our example of social cognitive approaches to AI design. This Editorial then presents a discussion on ways forward, underscoring the value of a balanced approach to assessing the opportunities, risks and responsibilities associated with AI design. We conclude by presenting papers in the Special Issue and their contribution, pointing to future research endeavors.

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“…In past generations we looked to socially transform and develop the inner person through prayer and meditation with some worshippers even using a simple prayer rope as an aid to reflection and mindfulness. Today, given the context of the attention economy, increasingly locking us into a digital realm [8], [9], it is manifest that individuals feel overwhelmed [10], [61]. We are told that the only way forward out of this digital entanglement is not through personal struggle [agon the Greek word for conflict, struggle, or contest] but to further seek in the aid of yet another technological fix (yes, there's an app for that too); a type of computer-supported solution to addressing the development and the angst of the inner person.…”

Section: The Rising Techno-mythmentioning

confidence: 99%