In philosophy of mind, zombies are imaginary creatures that are exact physical duplicates of conscious subjects for whom there is no first-personal experience. Zombies are meant to show that physicalism—the theory that the universe is made up entirely out of physical components—is false. In this paper, I apply the zombie thought experiment to the realm of morality to assess whether moral agency is something independent from sentience. Algorithms, I argue, are a kind of functional moral zombie, such that thinking about the latter can help us better understand and regulate the former. I contend that the main reason why algorithms can be neither autonomous nor accountable is that they lack sentience. Moral zombies and algorithms are incoherent as moral agents because they lack the necessary moral understanding to be morally responsible. To understand what it means to inflict pain on someone, it is necessary to have experiential knowledge of pain. At most, for an algorithm that feels nothing, ‘values’ will be items on a list, possibly prioritised in a certain way according to a number that represents weightiness. But entities that do not feel cannot value, and beings that do not value cannot act for moral reasons.

Many are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analyze the challenges IRBs are facing in the contexts of both industry and academia, and offer concrete recommendations for how these committees might be adapted in order to provide an effective mechanism of oversight for health‐related AI research.

Population obesity and associated morbidities pose significant public health and economic burdens in the United Kingdom, United States, and globally. As a response, public health initiatives often seek to change individuals’ unhealthy behavior, with the dual aims of improving their health and conserving health care resources. One such initiative—taxes on sugar‐sweetened beverages—has sparked considerable ethical debate. Prominent in the debate are arguments seeking to demonstrate the supposed impermissibility of SSB taxes and similar policies on the grounds that they interfere with individuals’ freedom and autonomy. Commentators have often assumed that a policy intended to restrict or change private individuals’ consumption behavior will necessarily curtail freedom and, as a corollary, will undermine individuals’ autonomy with respect to their consumption choices. Yet this assumption involves a conceptual mistake. To address the misunderstanding, it’s necessary to attend to the differences between negative liberty, freedom of options, and autonomy. Ultimately, concerns about negative liberty, freedom, and autonomy do not provide strong grounds for opposing SSB taxes.

The ability to collect fine-grained energy data from smart meters has benefits for utilities and consumers. However, a proactive approach to data privacy is necessary to maximize the potential of these data to support low-carbon energy systems, and innovative business models.Recent data misuse by Facebook and others have cast a shadow over 'smart data'. Many users expressed unease and shock about the kind of personal data Facebook holds and shares, and the company is now facing a class action lawsuit for logging text messages and phone calls via its apps 1 . The use of personal data harvested from Facebook by Cambridge Analytica for political campaigns also raised widespread concerns. Google is similarly facing a lawsuit for unlawfully harvesting personal data from iPhones 2 . Unethical data practices can undermine public trust in businesses and institutions, and could hinder the uptake of many potentially helpful data-based solutions, including smart energy services.