AI designed to be moral, what a concept!

https://wollic2022.github.io/Marija-Slavkovik.pdf

Automating Moral Reasoning (tutorial)

Machine ethics has, as its topic of research, the behaviour of machines towards humans and other machines. One aspect of that research problem is enabling machines to reason about right and wrong. The automation of moral reasoning is on one end the field of dreams and speculative fiction, but on the other it is a very real need to ensure that the artificial intelligence used to automate various tasks that require intelligence does not neglect the ethical and value impact this ‘replacement’ of man with machine has. This tutorial introduces the problem of making moral decisions and gives a general overview of how a computational agent can be constructed to make moral decisions.

A summary?

https://link.springer.com/chapter/10.1007/978-3-031-06636-8_11

Legal Principles Governing Disruptive Technologies in Policing

This chapter will address the law and policy considerations raised by technological innovations in public safety and policing. Across the United States, law enforcement officials have been deploying a range of disruptive technologies designed to assist policing, such as (1) city surveillance networks; (2) body cameras; (3) facial recognition technology, and (4) automatic license plate readers. Drawing on human rights law set forth by the United Nations and U.S. jurisprudence, this chapter will describe the range of legal considerations related to the collection, utilization, and access of emerging technology. Disruptive technologies raise critical questions related to the concepts of privacy, appropriate use parameters, and the balance of power in a democratic society. This chapter will provide recommendations of points to consider when assessing the impact of disruptive technologies prior to adoption.

Searching for an AI that believes in God or an AI that thinks it is God?

https://onlinelibrary.wiley.com/doi/abs/10.1111/zygo.12827

LESSONS FROM THE QUEST FOR ARTIFICIAL CONSCIOUSNESS: THE EMERGENCE CRITERION, INSIGHT-ORIENTED AI, AND IMAGO DEI

There are several lessons that can already be drawn from the current research programs on strong AI and building conscious machines, even if they arguably have not produced fruits yet. The first one is that functionalist approaches to consciousness do not account for the key importance of subjective experience and can be easily confounded by the way in which algorithms work and succeed. Authenticity and emergence are key concepts that can be useful in discerning valid approaches versus invalid ones and can clarify instances where algorithms are considered conscious, such as Sophia or LaMDA. Subjectivity and embeddedness become key notions that should also lead us to re-examine the ethics of decision delegation. In addition, the focus on subjective experience shifts what is relevant in our understanding of ourselves as human beings and as an image of God, namely, in de-emphasizing intellectuality in favor of experience and contemplation over action.

(Related) Will we ever have an AI religious leader?

https://link.springer.com/chapter/10.1007/978-3-031-14859-0_15

Papal Teaching on the Ethical Challenges of Artificial Intelligence

Although the widespread use of Artificial Intelligence (AI) in society has brought many benefits, recent failures in data security and examples of algorithmic bias intensifying social injustices have led to greater focus on the ethics of AI development and usage. Pope Francis has called for a growth in moral maturity and a rejection of the technocratic paradigm, that people might act with “responsible and merciful consciences.” This article aims to explore papal teaching on technology and AI in particular in order to outline a person-centred ethics of AI which is built upon responsibility and mercy.