The idea of superintelligence is a source of mainly philosophical and ethical considerations. Those considerations are rooted in the idea that an entity which is more intelligent than humans, may evolve in some point in the future. For obvious reasons, the superintelligence is considered as a kind of existential threat for humanity. In this essay, we discuss two ideas. One of them is the putative nature of future superintelligence which does not necessary need to be harmful for humanity. Our key (...) idea states that the superintelligence does not need to assess its own survival as the highest value. As a kind of intelligence that is not biological, it is not clear what kind of attitude the superintelligent entity may evolve towards living organisms. Our second idea refers to the possible revelation of superintelligence. We assume that the self-revelation of such entity cannot be random. The metaphor of God as a superintelligence is introduced here as a helpful conceptual tool. (shrink)

Machine learning-based AI algorithms lack transparency. In this article, I offer an interpretation of AI’s explainability problem and highlight its ethical saliency. I try to make the case for the legal enforcement of a strong explainability requirement: human organizations which decide to automate decision-making should be legally obliged to demonstrate the capacity to explain and justify the algorithmic decisions that have an impact on the wellbeing, rights, and opportunities of those affected by the decisions. This legal duty can be derived (...) from the demands of Rawlsian public reason. In the second part of the paper, I try to show that the argument from the limitations of human cognition fails to get AI off the hook of public reason. Against a growing trend in AI ethics, my main argument is that the analogy between human minds and artificial neural networks fails because it suffers from an atomistic bias which makes it blind to the social and institutional dimension of human reasoning processes. I suggest that developing interpretive AI algorithms is not the only possible answer to the explainability problem; social and institutional answers are also available and in many cases more trustworthy than techno-scientific ones. (shrink)

Artificial intelligence plays an important role in current discussions on information and communication technologies and new modes of algorithmic governance. It is an unavoidable dimension of what social mediations and modes of reproduction of our information societies will be in the future. While several works in artificial intelligence ethics address ethical issues specific to certain areas of expertise, these ethical reflections often remain confined to narrow areas of application, without considering the global ethical issues in which they are embedded. We, (...) therefore, propose to clarify the main approaches to AIE, their philosophical assumptions and the specific characteristics of each one of them, to identify the most promising approach to develop an ethical reflection on the deployment of AI in our societies, which is the one based on information ethics as proposed by Luciano Floridi. We will identify the most important features of that approach to highlight areas that need further investigation. (shrink)