This paper looks at philosophical questions that arise in the context of AI alignment. It
defends three propositions. First, normative and technical aspects of the AI alignment …

Artificial Intelligence (AI) must be directed at humane ends. The development of AI has
produced great uncertainties of ensuring AI alignment with human values (AI value …

Value alignment, the process of ensuring that artificial intelligence (AI) systems are aligned
with human values and goals, is a critical issue in AI research. Existing scholarship has …

AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

An important step in the development of value alignment (VA) systems in artificial
intelligence (AI) is understanding how VA can reflect valid ethical principles. We propose …

Trust is believed to be a foundational cornerstone for artificial intelligence (AI). In April 2019
the European Commission High Level Expert Group on AI adopted the Ethics Guidelines for …

In this chapter, we discuss a host of technical problems that we think AI scientists could work
on to ensure that the creation of smarter-than-human machine intelligence has a positive …

The more AI agents are deployed in scenarios with possibly unexpected situations, the more
they need to be flexible, adaptive, and creative in achieving the goal we have given them …

If we can build sufficiently advanced machine intelligences, what goals should we point
them at? The frontier open problems on this subject are less,“A robot may not injure a …

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere
near developing systems that are genuinely intelligent. In this provocative book, Brian …