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ردیف | عنوان | نوع |
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1 |
Trustworthy AI Development Guidelines for Human System Interaction
دستورالعمل های قابل اعتماد توسعه هوش مصنوعی برای تعامل سیستم انسانی-2020 Artificial Intelligence (AI) is influencing almost all
areas of human life. Even though these AI-based systems frequently
provide state-of-the-art performance, humans still hesitate
to develop, deploy, and use AI systems. The main reason for
this is the lack of trust in AI systems caused by the deficiency of
transparency of existing AI systems. As a solution, “Trustworthy
AI” research area merged with the goal of defining guidelines
and frameworks for improving user trust in AI systems, allowing
humans to use them without fear. While trust in AI is an active
area of research, very little work exists where the focus is to
build human trust to improve the interactions between human
and AI systems. In this paper, we provide a concise survey on
concepts of trustworthy AI. Further, we present trustworthy AI
development guidelines for improving the user trust to enhance
the interactions between AI systems and humans, that happen
during the AI system life cycle. Index Terms: Trustworthy AI | Transparency | Explainable AI | Human System Interactions | Human Machine Interactions | AI Life Cycle |
مقاله انگلیسی |
2 |
Trustworthy AI in the Age of Pervasive Computing and Big Data
هوش مصنوعی قابل اعتماد در عصر محاسبات فراگیر و داده های بزرگ-2020 The era of pervasive computing has resulted in
countless devices that continuously monitor users and their
environment, generating an abundance of user behavioural data.
Such data may support improving the quality of service, but may
also lead to adverse usages such as surveillance and advertisement.
In parallel, Artificial Intelligence (AI) systems are being
applied to sensitive fields such as healthcare, justice, or human
resources, raising multiple concerns on the trustworthiness of
such systems. Trust in AI systems is thus intrinsically linked to
ethics, including the ethics of algorithms, the ethics of data, or the
ethics of practice. In this paper, we formalise the requirements
of trustworthy AI systems through an ethics perspective. We
specifically focus on the aspects that can be integrated into the
design and development of AI systems. After discussing the state
of research and the remaining challenges, we show how a concrete
use-case in smart cities can benefit from these methods. Index Terms: Artificial Intelligence | Pervasive Computing | Ethics | Data Fusion | Transparency | Privacy | Fairness | Accountability | Federated Learning |
مقاله انگلیسی |