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Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness
As artificially intelligent systems become more anthropomorphic and pervasive, and their potential impact on humanity more urgent, discussions about the possibility of machine consciousness have significantly intensified, and it is sometimes seen as 'the holy grail'.
If our aim is to build morality into an artificial agent, how might we begin to go about doing so?
As Artificial Intelligence (AI) becomes pervasive in most fields, from healthcare to autonomous driving, it is essential that we find successful ways of building morality into our machines, especially for decision-making.
Minimum Levels of Interpretability for Artificial Moral Agents
As artificial intelligence (AI) models continue to scale up, they are becoming more capable and integrated into various forms of decision-making systems.
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning
We propose an ontology of building decision-making systems, with the aim of establishing Meta-Decision-Making for Artificial Intelligence (AI), improving autonomy, and creating a framework to build metrics and benchmarks upon.
Developing moral AI to support antimicrobial decision making
Artificial intelligence (AI) assisting with antimicrobial prescribing raises significant moral questions.
Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus
An appropriate ethical framework around the use of Artificial Intelligence (AI) in healthcare has become a key desirable with the increasingly widespread deployment of this technology.
Have a break from making decisions, have a MARS: The Multi-valued Action Reasoning System
The Multi-valued Action Reasoning System (MARS) is an automated value-based ethical decision-making model for artificial agents (AI).
Morality, Machines and the Interpretation Problem: A Value-based, Wittgensteinian Approach to Building Moral Agents
We present what we call the Interpretation Problem, whereby any rule in symbolic form is open to infinite interpretation in ways that we might disapprove of and argue that any attempt to build morality into machines is subject to it.
