Category Archives: Trustworthiness

Long-run trust dynamics

Long, thoughtful essay by David Brooks in The Atlantic on the evolution of mistrust in the American body politic. The angle taken is that of the long span of the history of mentalities: Brooks couches his analysis of the current crisis in the recurrence of moral convulsions, which once every sixty years or so fundamentally reshape the terms of American social discourse. What we are witnessing today, therefore, is the final crisis of a regime of liberal individualism whose heyday was in the globalizing 1990s, but whose origin may be traced to the previous moral convulsion, the anti-authoritarian revolt against the status quo of the late 1960s.

The most interesting part of Brooks’ analysis is the linking of data on the decline in generic societal trust with the social-psychological dimension, namely the precipitous –and frankly shocking– decline in reported psychological well-being in America, especially among children and young adults. Where his argument is less persuasive is in the prognosis of a more security-oriented paradigm for the future, based on egalitarianism and communitarian tribalism. It is not clear to me that the country possesses either the means or the will to roll back the atomizing tendencies of globalization.

Official compliance with curbs on surveillance

A new court case has been brought against the City and County of San Francisco for the use of surveillance cameras by the San Francisco Police Department, in violation of a 2019 city ordinance, to control protests in early June following the killing of George Floyd. The Electronic Frontier Foundation and the American Civil Liberties Union of Northern California are representing the three plaintiffs in the suit, community activists who participated in the demonstrations, alleging a chilling effect on freedom of speech and assembly. The surveillance apparatus belonged to a third party, the Union Square Business Improvement Distric, and its use was granted voluntarily to law enforcement, following a request.

Use of surveillance and facial recognition technology is widespread among California law enforcement, but such policies are often opaque and unacknowledged. Police Departments have been able to evade legislative and regulatory curbs on their surveillance activities through third-party arrangements. Such potential for non-compliance strengthens the case for approaches such as that taken in Portland, OR, where facial recognition technology is banned for all, not simply for the public sector.

Robocalling campaigns

Politico‘s Morning Tech reports that the Trump campaign has launched a poll on its website to gauge sentiment as to Twitter’s anti-conservative bias. There is nothing particularly scientific or informative about the poll. In fact, MT speculates that the main purpose of the stunt is to get respondents to agree, in passing, to have their phone numbers robocalled by the campaign (this kind of data-collection-and-authorization has been done before). Robocalling is one of those annoying-but-effective psychological prods, like canned laughter. Participants in the Twitter poll can safely be considered strong fans of the President, but even they might not consent to being robocalled if asked directly, hence this circuitous route. It is remarkable, though, how outrage is commodified as data harvesting, or –seen the other way– how subjection to invasive marketing is the price of interaction with curated forms of political venting.

Enforcement as deflection

Technology policy is often characterized as an area in which governments play catch-up, both cognitively and resource-wise, with the private sector. In these two recent cases, otherwise quite far apart both spatially and thematically, law enforcement can be seen to flip this script by attempting to pin responsibility for social externalities on those it can reliably target: the victims and the small fry. Whether it is criminalizing those who pay to be rid of ransomware or rounding up the café owners who failed to participate in the State’s mass surveillance initiatives, the authorities signal the seriousness of their intentions with regards to combating social ills by targeting bystanders rather than the actual perpetrators. Politically, this is a myopic strategy, and I would not be surprised if it generated a significant amount of pushback.

The hustle and the algorithm

Various interesting new pieces on the experience of the algorithmically-directed gig economy. The proximate cause for interest is the upcoming vote in California on Prop. 22, a gig industry-sponsored ballot initiative to overturn some of the labor protections for gig workers enacted by the California legislature last year with AB 5.

Non-compliance with the regulations enacted by this statute has been widespread and brazen by the market leaders in the gig economy, who now hope to cancel the law directly, using direct democracy (as has often been done by special interests in California in the past). Ride-sharing companies such as Uber and Lyft have threatened to leave the state altogether unless these regulations are dropped, thus putting pressure on their workforce to support the ballot initiative at the polls.

Of course, the exploitative potential in US labor law and relations long pre-dates the platforms and the gig economy. However, with respect to at least some of these firms, it is a legitimate question to ask whether there is any substantial value being produced via technological innovation, or whether their market profitability relies essentially on the ability to squeeze more labor out of their workers.

In this sense, and in parallel with the (COVID-accelerated) transition out of a jobs-based model of employment, the gig economy co-opts the evocative potential of entrepreneurialism, especially in its actually-existing form as the self-exploitation dynamics of American immigrant culture. Also, it is hard to miss the gender and race subtexts of this appeal to entrepreneurialism. As one thoughtful article in Dissent puts it, many of the innovative platforms are really targeted to subprime markets:

[t]he platform economy is a stopgap to overcome exclusion, and a tool used to target people for predatory inclusion.

Hence the algorithm as flashpoint in labor relations: it is where the idealized notion of individual striving and the hustle meets the systemic limits of an extractive economy; its very opacity fuels mistrust in the intentions of the platforms.