Tag Archives: Platforms

Trustworthiness

Bridle’s vision

Belatedly finished reading James Bridle’s book New Dark Age: Technology and the End of the Future (Verso, 2018). As the title suggests, the text is systemically pessimist about the effect of new technologies on the sustainability of human wellbeing. Although the overall structure of the argument is at times clouded over by sudden twists in narrative and the sheer variety of anecdotes, there are many hidden gems. I very much enjoyed the idea, borrowed from Timothy Morton, of a hyperobject:

a thing that surrounds us, envelops and entangles us, but that is literally too big to see in its entirety. Mostly, we perceive hyperobjects through their influence on other things […] Because they are so close and yet so hard to see, they defy our ability to describe them rationally, and to master or overcome them in any traditional sense. Climate change is a hyperobject, but so is nuclear radiation, evolution, and the internet.

One of the main characteristics of hyperobjects is that we only ever perceive their imprints on other things, and thus to model the hyperobject requires vast amounts of computation. It can only be appreciated at the network level, made sensible through vast distributed systems of sensors, exabytes of data and computation, performed in time as well as space. Scientific record keeping thus becomes a form of extrasensory perception: a networked, communal, time-travelling knowledge making. (73)

Bridle has some thought-provoking ideas about possible responses to the dehumanizing forces of automation and algorithmic sorting, as well. Particularly captivating was his description of Gary Kasparov’s reaction to defeat at the hands of AI Deep Blue in 1997: the grandmaster proposed ‘Advanced Chess’ tournaments, pitting pairs of human and computer players, since such a pairing is superior to both human and machine players on their own. This type of ‘centaur strategy’ is not simply a winning one: it may, Bridle suggests, hold ethical insights on patways of human adaptation to an era of ubiquitous computation.

Information and the public sphere

Free speech and monetization

Yesterday, I attended an Electronic Frontier Foundation webinar in the ‘At Home with EFF’ series on Twitch: the title was ‘Online Censorship Beyond Trump and Parler’. Two panels hosted several veterans and heavyweights in the content moderation/trust & safety field, followed by a wrap-up session presenting EFF positions on the topics under discussion.

Several interesting points emerged with regard to the interplay of market concentration, free speech concerns, and the incentives inherent in the dominant social media business model. The panelists reflected on the long run, identifying recurrent patterns, such as the economic imperative driving infrastructure companies from being mere conduits of information to becoming active amplifiers, hence inevitably getting embroiled in moderation. While neutrality and non-interference may be the preferred ideological stance for tech companies, at least publicly, editorial decisions are made a necessity by the prevailing monetization model, the market for attention and engagement.

Perhaps the most interesting insight, however, emerged from the discussion of the intertwining of free speech online with the way in which such speech is (or is not) allowed to make itself financially sustainable. Specifically, the case was made for the importance of the myriad choke points up and down the stack where those who wish to silence speech can exert pressure: if cloud computing cannot be denied to a platform in the name of anti-discrimination, should credit card verification or merch, for instance, also be protected categories?

All in all, nothing shockingly novel; it is worth being reminded, however, that a wealth of experience in the field has already accrued over the years, so that single companies (and legislators, academics, the press, etc.) need not reinvent the wheel each time trust & safety or content moderation are on the agenda.

Political economy and visibility

Market concentration woes

Just followed the Medium book launch event for the print edition of Cory Doctorow’s latest, How to Destroy Surveillance Capitalism (free online version here). The pamphlet, from August 2020, was originally intended as a rebuttal of Shoshana Zuboff’s The Age of Surveillance Capitalism [v. supra]. The main claim is that the political consequences of surveillance capitalism were not, as Zuboff maintains, unintended, but rather are central and systemic to the functioning of the whole. Hence, proposed solutions cannot be limited to the technological or economic sphere, but must be political as well. Specifically, Doctorow identifies in trust-busting the main policy tool for reining in Big Tech.

With hindsight of the 2020 election cycle and its aftermath, two points Doctorow made in the presentation stand out most vividly. The first is the link between market power and the devaluing of expert opinion that is a necessary forerunner of disinformation. The argument is that “monopolies turn truth-seeking operations [such as parliamentary committee hearings, expert testimony in court, and so forth] into auctions” (where the deepest pockets buy the most favorable advice), thereby completely discrediting their information content for the general public. The second point is that most all of the grievances currently voiced about Section 230 (the liability shield for online publishers of third-party materials) are at some level grievances about monopoly power.