In this paper, some of the core problems of AI ethics are discussed. Firstly, assuming that AI ethics is to be an ethics of relations between human and artificial agents, we try to explain what “acting” means with respect to humans and AI systems. To do so, we outline the different forms of relationships that can be built and regulated between human and artificial agents, also according to a deontological approach. Secondly, then, we give an insight into the regulatory codes and documents produced across the world. We discuss their scope of applicability and global acceptance. In particular, we note that, along with principles of transparency, responsibility, privacy etc., some relational ethical principle is missing, although seeming essential. Thirdly, as a consequence, trying to concretely build upon such relational principle, we lay down the concept of a new kind of artificial intelligence systems design called endless tuning, which can help to develop and procedurally implement a common, cooperative and responsible conduct for humans and artificial entities alike.

Towards a Relational Ethics in AI. The Problem of Agency, The Search for Common Principles, the Pairing of Human and Artificial Agents

Fabris, Adriano
;
Grande, Elio
2024-01-01

Abstract

In this paper, some of the core problems of AI ethics are discussed. Firstly, assuming that AI ethics is to be an ethics of relations between human and artificial agents, we try to explain what “acting” means with respect to humans and AI systems. To do so, we outline the different forms of relationships that can be built and regulated between human and artificial agents, also according to a deontological approach. Secondly, then, we give an insight into the regulatory codes and documents produced across the world. We discuss their scope of applicability and global acceptance. In particular, we note that, along with principles of transparency, responsibility, privacy etc., some relational ethical principle is missing, although seeming essential. Thirdly, as a consequence, trying to concretely build upon such relational principle, we lay down the concept of a new kind of artificial intelligence systems design called endless tuning, which can help to develop and procedurally implement a common, cooperative and responsible conduct for humans and artificial entities alike.
2024
Fabris, Adriano; Dadà, Silvia; Grande, Elio
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1293068
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact