5 research outputs found
Kantian Moral Agency and the Ethics of Artificial Intelligence
This paper discusses the philosophical issues pertaining to Kantian moral agency and artificial intelligence (AI). Here, our objective is to offer a comprehensive analysis of Kantian ethics to elucidate the non-feasibility of Kantian machines. Meanwhile, the possibility of Kantian machines seems to contend with the genuine human Kantian agency. We argue that in machine morality, âdutyâ should be performed with âfreedom of willâ and âhappinessâ because Kant narrated the human tendency of evaluating our ânatural necessityâ through âhappinessâ as the end. Lastly, we argue that the Kantian âfreedom of willâ and âfaculty of choiceâ do not belong to any deterministic model of âagencyâ as these are sacrosanct systems. The conclusion narrates the non-feasibility of Kantian AI agents from the genuine Kantian ethical outset, offering a utility-based Kantian ethical performer instead
Mortal Computation: A Foundation for Biomimetic Intelligence
This review motivates and synthesizes research efforts in
neuroscience-inspired artificial intelligence and biomimetic computing in terms
of mortal computation. Specifically, we characterize the notion of mortality by
recasting ideas in biophysics, cybernetics, and cognitive science in terms of a
theoretical foundation for sentient behavior. We frame the mortal computation
thesis through the Markov blanket formalism and the circular causality entailed
by inference, learning, and selection. The ensuing framework -- underwritten by
the free energy principle -- could prove useful for guiding the construction of
unconventional connectionist computational systems, neuromorphic intelligence,
and chimeric agents, including sentient organoids, which stand to revolutionize
the long-term future of embodied, enactive artificial intelligence and
cognition research.Comment: Several revisions applied, corrected error in Jarzynski equality
equation (w/ new citaion); references and citations now correctly aligne
Can a Robot Have Free Will?
Using insights from cybernetics and an information-based understanding of biological systems, a precise, scientifically inspired, definition of free-will is offered and the essential requirements for an agent to possess it in principle are set out. These are: (a) there must be a self to self-determine; (b) there must be a non-zero probability of more than one option being enacted; (c) there must be an internal means of choosing among options (which is not merely random, since randomness is not a choice). For (a) to be fulfilled, the agent of self-determination must be organisationally closed (a âKantian wholeâ). For (c) to be fulfilled: (d) options must be generated from an internal model of the self which can calculate future states contingent on possible responses; (e) choosing among these options requires their evaluation using an internally generated goal defined on an objective function representing the overall âmaster functionâ of the agent and (f) for âdeep free-willâ, at least two nested levels of choice and goal (dâe) must be enacted by the agent. The agent must also be able to enact its choice in physical reality. The only systems known to meet all these criteria are living organisms, not just humans, but a wide range of organisms. The main impediment to free-will in present-day artificial robots, is their lack of being a Kantian whole. Consciousness does not seem to be a requirement and the minimum complexity for a free-will system may be quite low and include relatively simple life-forms that are at least able to learn