A DINÂMICA ÉTICA DAS MÁQUINAS EM INTELIGÊNCIA ARTIFICIAL E O NOVO PAPEL DO PROFESSOR DE FILOSOFIA

Abstract

Computational ethics considers dynamics based on techniques, values , and principles accepted as right or wrong to guide moral conduct in the development of artificial intelligence algorithms. Reinforcement learning is an artificial intelligence model that is willing to solve a problem proposed in an uncertain and complex environment based on a sequence of decisions in which the means used to reach the end do not matter. The algorithm is penalized or rewarded for the actions it performs. However, it always seeks the highest possible reward. Consideration of the social, ethical, and moral impact in this cyber scenario. The dilemma of freedom or control of artificial intelligence in autonomous systems. Dealing with algorithmic discrimination with humanity and its idiosyncrasies in the face of exponential and limitless computational power. The coming of the announced technological singularity. Mitigating conflicts between the intelligence of things and human consciousness to make life more meaningful and less complex in liquid modernity. Use of the best skills that technology has to bring meaning to life, making the interaction between men and things more human, natural, cognitive, sustainable, and socially responsible. The importance and influence of philosophical thinking in the construction of collaborative, ethical, and moral knowledge precedes the parameterization and definition of the metrics and methods of the Artificial Intelligence algorithms incorporated in things and networks for the benefit of the knowledge society. The role of the philosophy professor in this new scenario.