Defining 'Speech': Subtraction, Addition, and Division

In free speech theory ‘speech’ has to be defined as a special term of art. I argue that much free speech discourse comes with a tacit commitment to a ‘Subtractive Approach’ to defining speech. As an initial default, all communicative acts are assumed to qualify as speech, before exceptions are made to ‘subtract’ those acts that don’t warrant the special legal protections owed to ‘speech’. I examine how different versions of the Subtractive Approach operate, and criticise them in terms of their ability to yield a substantive definition of speech which covers all and only those forms of communicative action that – so our arguments for free speech indicate – really do merit special legal protection. In exploring alternative definitional approaches, I argue that what ultimately compromises definitional adequacy in this arena is a theoretical commitment to the significance of a single unified class of privileged communicative acts. I then propose an approach to free speech theory that eschews this theoretical commitment

Super Soldiers and Technological Asymmetry

In this chapter I argue that emerging soldier enhancement technologies have the potential to transform the ethical character of the relationship between combatants, in conflicts between ‘Superpower’ militaries, with the ability to deploy such technologies, and technologically disadvantaged ‘Underdog’ militaries. The reasons for this relate to Paul Kahn’s claims about the paradox of riskless warfare. When an Underdog poses no threat to a Superpower, the standard just war theoretic justifications for the Superpower’s combatants using lethal violence against their opponents breaks down. Therefore, Kahn argues, combatants in that position must approach their opponents in an ethical guise relevantly similar to ‘policing’. I argue that the kind of disparities in risk and threat between opposing combatants that Kahn’s analysis posits, don’t obtain in the context of face-to-face combat, in the way they would need to in order to support his ethical conclusions about policing. But then I argue that soldier enhancement technologies have the potential to change this, in a way that reactivates the force of those conclusions

Moral Renegades

This piece is a side-by-side review of two books: Strangers Drowning, by Larissa MacFarquhar, and Doing Good Better, by William MacAskill. Both books are concerned with the question of whether we should try to live as morally good a life as possible. MacAskill thinks the answer is 'yes', and his book is an overview of how the Effective Altruist movement approaches the problem of how to achieve a morally optimal life. MacFarquhar's book is a more descriptive account of the lives of people who aim to live in a morally optimal way. Her discussion is nuanced, and somewhat ambivalent about the merits of this aim. My review brings out some commonalities and differences between the two books, and critically digests the arguments on offer

Dehumanization: its Operations and its Origins

Gail Murrow and Richard Murrow offer a novel account of dehumanization, by synthesizing data which suggest that where subject S has a dehumanized view of group G, S‘s neural mechanisms of empathy show a dampened response to the suffering of members of G, and S‘s judgments about the humanity of members of G are largely non-conscious. Here I examine Murrow and Murrow‘s suggestions about how identity-based hate speech bears responsibility for dehumanization in the first place. I identify a distinction between (i) accounts of the nature of the harm effected by identity prejudice, and (ii) accounts of how hate speech contributes to the harms of identity prejudice. I then explain why Murrow and Murrow‘s proposal is more aptly construed as an account of type (i), and explain why accounts of this type, even if they‘re plausible and evidentially well-supported, have limited implications in relation to justifications for anti-hate speech law

No Platforming

This paper explains how the practice of ‘no platforming’ can be reconciled with a liberal politics. While opponents say that no platforming flouts ideals of open public discourse, and defenders see it as a justifiable harm-prevention measure, both sides mistakenly treat the debate like a run-of-the-mill free speech conflict, rather than an issue of academic freedom specifically. Content-based restrictions on speech in universities are ubiquitous. And this is no affront to a liberal conception of academic freedom, whose purpose isn’t just to protect the speech of academics, but also to give them the prerogative to determine which views and speakers have sufficient disciplinary credentials to receive a hearing in academic contexts. No platforming should therefore be acceptable to liberals, in principle, in cases where it is used to support a university culture that maintains rigorous disciplinary standards, by denying attention and credibility to speakers without appropriate disciplinary credentials

Tolerating Hate in the Name of Democracy

This article offers a comprehensive and critical analysis of Eric Heinze’s book Hate Speech and Democratic Citizenship (Oxford University Press, 2016). Heinze’s project is to formulate and defend a more theoretically complex version of the idea (also defended by people like Ronald Dworkin and James Weinstein) that general legal prohibitions on hate speech in public discourse compromises the state’s democratic legitimacy. We offer a detailed synopsis of Heinze’s view, highlighting some of its distinctive qualities and strengths. We then develop a critical response to this view with three main focal points: (1) the characterisation of democratic legitimacy as something distinct from (and whose demands aren’t identical with those of) legitimacy per se; (2) the claim that the requirements of democracy are hypothetical, rather than categorical, imperatives; and relatedly (3) the question of how we should reconcile the requirements of democratic legitimacy with the costs that may follow from prioritising democratic legitimacy. We argue that there are significant difficulties for Heinze’s account on all three fronts

Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network

Audio source separation is a difficult machine learning problem and performance is measured by comparing extracted signals with the component source signals. However, if separation is motivated by the ultimate goal of re-mixing then complete separation is not necessary and hence separation difficulty and separation quality are dependent on the nature of the re-mix. Here, we use a convolutional deep neural network (DNN), trained to estimate 'ideal' binary masks for separating voice from music, to perform re-mixing of the vocal balance by operating directly on the individual magnitude components of the musical mixture spectrogram. Our results demonstrate that small changes in vocal gain may be applied with very little distortion to the ultimate re-mix. Our method may be useful for re-mixing existing mixes

More devolution rather than independence: time for the SNP to rediscover the 'middle way'

The fall in support, and considerable loss of Parliamentary representation, for the Scottish National Party in the 2017 general election, throws the immediate future of the pro-independence project into some doubt. Mark Simpson suggests that nationalists need to play a longer game, focusing for now on getting the devolved powers they need to create a more equal Scotland within the UK