William Irwin defends a form of moral anti-realism, according to which there are no objective moral facts. He contends that moral realism is objectionable because of its being more complex or not as simple as anti-realism; moral realism is in conflict with science; moral realism is also challenged by the fact that our moral judgements would differ if we were subject to a different biology or evolutionary past. Irwin also argues that insofar as moral realism is supportable evidentially by experience (...) this would lead to the absurdity of thinking theism may be supported evidentially by religious experience. In response, it is argued that there are many truths and practices that are not intelligible if there are no objective, normative truths and that objective moral truths are no more dispensable or odd than epistemic norms. It is further argued that Irwin's account of the evolution of morality is not able to escape presupposing objective moral facts. Finally, the appeal to moral and religious experience is defended in making the case for moral realism and theism. (shrink)

Behavioral economics and existentialism both present informative perspectives on human choice. We argue in this article that the dialogue between the two approaches can enrich the current debate about the normative implications of behavioral economics. While behavioral economics suggests that our capacity to choose is constrained by cognitive biases and environmental influences, existentialism emphasizes that we can treat ourselves as free and ‘becoming’ beings in spite of the many constraints we face. Acknowledging these two perspectives in the form of a (...) theoretical synthesis—which we propose to call existentialist behavioral economics—provides us with reasons why we should protect our choices ‘as our own’ and how doing so may be more difficult than we anticipate. It also provides a framework to analyze the threat of identity-shaping social and technological developments, such as preference-altering nudges and artificially intelligent prediction algorithms. (shrink)