A standard argument for ethical vegetarianism contends that factory farming – the source of nearly all animal products – is morally wrong due to its extreme cruelty, and that it is wrong to buy products produced in an extremely immoral manner. This article defends this argument against objections based on appeal to libertarian political philosophy, the supposed benefit to animals of being raised for food, and nonhuman animals’ supposed lack of rights.

I offer a Kantian argument for the idea that the state lacks the authority to punish neglected, impoverished citizens when they commit crimes to cope with that neglect. Given Kant’s own commitments to the value of external freedom and the state’s obligation to ensure it in Doctrine of Right, there is no reason a Kantian state can claim authority to punish an impoverished citizen while also failing in significant ways to protect her external freedom.

In “Accepting Moral Responsibility for the Actions of Autonomous Weapons Systems—a Moral Gambit” (2022), Mariarosaria Taddeo and Alexander Blanchard answer one of the most vexing issues in current ethics of technology: how to close the so-called “responsibility gap”? Their solution is to require that autonomous weapons systems (AWSs) may only be used if there is some human being who accepts the ex ante responsibility for those actions of the AWS that could not have been predicted or intended (in such cases, (...) the human being takes what the authors call the “moral gambit”). The authors then propose several institutional safeguards to implement in order to ensure that the moral gambit is taken in a fair and just way. This paper explores this suggestion in the context of the institutional settings within which AWSs are most likely to be deployed. It raises some concerns as to the feasibility of Taddeo and Blanchard’s proposal, in light of the recent empirical work on the incentive structures likely to exist within militaries. It then presents a potential problem that may arise in case the accountability mechanisms are successfully implemented. (shrink)