Adorno’s reading of Hegel’s theory of civil society shapes his way of addressing the core question of his critical theory of society: “Why do social crises not lead to social transformation?” Our chapter investigates the philosophical innovations at the heart of Hegel’s and Adorno’s respective approaches to the problems revealed by the antagonisms of civil society. We will do this by asking the questions: 1. How does Hegel conceive of the antagonistic structure of civil society? 2. How does Hegel conceive (...) of the way civil society addresses crises of legitimacy? 3. How does Adorno think of the way modern welfare states silence crises of legitimacy? 4. How does Adorno’s conception of Bannkreis aim to illuminate the root structure of how all antagonistic societies silence crises of legitimacy? We will thereby focus on the basic antagonism at work in both Adorno’s and Hegel’s theories of society: the antagonism between the overwhelming power of social orders over individuals, and the fragile power of individuals to demand legitimacy from their social orders. First, we will briefly sketch Adorno’s surprisingly affirmative reading of Hegel’s theory of civil society. We then go on to assess what role antagonism plays in the latter. We will argue that Hegel sees education (Bildung) as the central operator in reconciling the antagonisms of civil society. This will allow us to take a new look at Adorno’s social theory as tracing Bannkreis through a plurality of models, which discloses the reproduction of the social totality as a form of counter-education (Halbbildung). We ultimately argue that Adorno conceptualises Bannkreis as an answer to the question of Hegel’s account of world-spirit that revives the insights of Hegel’s conception of civil society. We conclude by taking a closer look at how Bildung turns into the counter-education of Bannkreis, and what potential for socially transformative practice this dialogue between Adorno and Hegel uncovers. (shrink)

The ML community recognizes the importance of anticipating and mitigating the potential negative impacts of benchmark research. In this position paper, we argue that more attention needs to be paid to areas of ethical risk that lie at the technical and scientific core of ML benchmarks. We identify overlooked structural similarities between human IQ and ML benchmarks. Human intelligence and ML benchmarks share similarities in setting standards for describing, evaluating and comparing performance on tasks relevant to intelligence. This enables us (...) to unlock lessons from feminist philosophy of science scholarship that need to be considered by the ML benchmark community. Finally, we outline practical recommendations for benchmark research ethics and ethics review. (shrink)

An increasing number of regulations propose the notion of ‘AI audits’ as an enforcement mechanism for achieving transparency and accountability for artificial intelligence (AI) systems. Despite some converging norms around various forms of AI auditing, auditing for the purpose of compliance and assurance currently have little to no agreed upon practices, procedures, taxonomies, and standards. We propose the ‘criterion audit’ as an operationalizable compliance and assurance external audit framework. We model elements of this approach after financial auditing practices, and argue (...) that AI audits should similarly provide assurance to their stakeholders about AI organizations’ ability to govern their algorithms in ways that mitigate harms and uphold human values. We discuss the necessary conditions for the criterion audit, and provide a procedural blueprint for performing an audit engagement in practice. We illustrate how this framework can be adapted to current regulations by deriving the criteria on which ‘bias audits’ for hiring algorithms can be performed, as required by the recently effective New York City Local Law 144 of 2021. We conclude by offering critical discussion on the benefits, inherent limitations, and implementation challenges of applying practices of the more mature financial auditing industry to AI auditing where robust guardrails against quality assurance issues are only starting to emerge. Our discussion as informed by experiences in performing these audits in practice highlights the critical role that an audit ecosystem plays in ensuring the effectiveness of such methodology. (shrink)

The evolution of a variety of important chromophore‐dependent biological processes, including microbial light sensing and mammalian color vision, relies on protein modifications that alter the spectral characteristics of a bound chromophore. Three different color opsins share the same chromophore, but have three distinct absorptions that together cover the entire visible spectrum, giving rise to trichromatic vision. The influence of opsins on the absorbance of the chromophore has been studied through methods such as model compounds, opsin mutagenesis, and computational modeling. The (...) recent development of rhodopsin mimic that uses small soluble proteins to recapitulate the binding and wavelength tuning of the native opsins provides a new platform for studying protein‐regulated spectral tuning. The ability to achieve far‐red shifted absorption in the rhodopsin mimic system was attributed to a combination of the lack of a counteranion proximal to the iminium, and a uniformly neutral electrostatic environment surrounding the chromophore. (shrink)