This paper investigates the attribution of responsibility to artificial intelligent systems (AI). It argues that traditional approaches to the subject are insufficient because they encounter some of the same problems that one encounters when attributing responsibility to humans. Peter Strawson's take on responsibility is introduced as an alternative approach. He claims that theoretical considerations miss the point when we ponder the responsibility of human agents. Instead, we should understand responsibility as part of the practice of human life. This claim is investigated and transferred to AI to see if it provides a more fruitful way to understand responsibility of AI
This paper investigates the claim that artificial Intelligence Systems cannot be held morally respon...
Artificial intelligence (AI) is becoming increasingly influential in most people’s lives. This raise...
The opaque and incomprehensible nature of artificial intelligence (AI) raises questions about who ca...
I argue for responsibility internalism. That is, moral responsibility (i.e., accountability, or bein...
Who is responsible for the events and consequences caused by using artificially intelligent tools, a...
Ensuring the trustworthiness of autonomous systems and artificial intelligenceis an important interd...
Ensuring the trustworthiness of autonomous systems and artificial intelligence is an important inter...
Artificial Intelligence (AI) systems are ubiquitous. From social media timelines, video recommendati...
The notion of "responsibility gap" with artificial intelligence (AI) was originally introduced in th...
To support the trustworthiness of AI systems, it is essential to have precise methods to determine w...
The aim of this thesis is to contribute with new insights on the concept of responsible artificial ...
When humans interact with intelligent systems, their causal responsibility for outcomes becomes equi...
As Christian List (2021) has recently argued, the increasing arrival of powerful AI systems that ope...
The notion of “responsibility gap” with artificial intelligence (AI) was originally introduced in th...
Governments are increasingly using sophisticated self-learning algorithms to automate and standardiz...
This paper investigates the claim that artificial Intelligence Systems cannot be held morally respon...
Artificial intelligence (AI) is becoming increasingly influential in most people’s lives. This raise...
The opaque and incomprehensible nature of artificial intelligence (AI) raises questions about who ca...
I argue for responsibility internalism. That is, moral responsibility (i.e., accountability, or bein...
Who is responsible for the events and consequences caused by using artificially intelligent tools, a...
Ensuring the trustworthiness of autonomous systems and artificial intelligenceis an important interd...
Ensuring the trustworthiness of autonomous systems and artificial intelligence is an important inter...
Artificial Intelligence (AI) systems are ubiquitous. From social media timelines, video recommendati...
The notion of "responsibility gap" with artificial intelligence (AI) was originally introduced in th...
To support the trustworthiness of AI systems, it is essential to have precise methods to determine w...
The aim of this thesis is to contribute with new insights on the concept of responsible artificial ...
When humans interact with intelligent systems, their causal responsibility for outcomes becomes equi...
As Christian List (2021) has recently argued, the increasing arrival of powerful AI systems that ope...
The notion of “responsibility gap” with artificial intelligence (AI) was originally introduced in th...
Governments are increasingly using sophisticated self-learning algorithms to automate and standardiz...
This paper investigates the claim that artificial Intelligence Systems cannot be held morally respon...
Artificial intelligence (AI) is becoming increasingly influential in most people’s lives. This raise...
The opaque and incomprehensible nature of artificial intelligence (AI) raises questions about who ca...