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There is a current sustained point of view that <<Within the contemporary Knowledge Society coexisting with intrusive forms of the “Artificial Intelligence in interactions that involve anxiety, fear, insecurity, and fascination and among the not-so-well-formulated questions that have well-structured answers” (Mengalli, Carvalho and Galvão, 2023)>>...
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... Maillart et al. identify Altruistic Collective Intelligence (ACI) as a core theoretical framework for advancing AI [45]. By integrating collective intelligence with intrinsic motivation and embracing principles of transparency and collaboration from the open-source movement, they argue that ACI balances technological innovation with ethical values. ...
As Artificial Intelligence (AI) continues to advance rapidly, Friendly AI (FAI) has been proposed to advocate for more equitable and fair development of AI. Despite its importance, there is a lack of comprehensive reviews examining FAI from an ethical perspective, as well as limited discussion on its potential applications and future directions. This paper addresses these gaps by providing a thorough review of FAI, focusing on theoretical perspectives both for and against its development, and presenting a formal definition in a clear and accessible format. Key applications are discussed from the perspectives of eXplainable AI (XAI), privacy, fairness and affective computing (AC). Additionally, the paper identifies challenges in current technological advancements and explores future research avenues. The findings emphasise the significance of developing FAI and advocate for its continued advancement to ensure ethical and beneficial AI development.
