Personhood Beyond the Human: the Subjectivation Scale of Future Persons

Philosophical concepts are useful for considering a potentially diverse landscape of future persons.

One important question is subjectivation – how individuals form and what constitutes an individual. The less helpful approach is focusing on classification and definition which is discriminatory and doomed to death by detail. A more fruitful approach is Simondon’s theory of individuation.

For Simondon, the current and future world is an environment of dynamic processes like individuation. Individuals participate in but do not cause individuation. Most importantly, individuals exist on a spectrum of capacity for action with other living beings including animals, human persons, and possibly a variety of future persons.

‘Capacity for action’ (a Spinoza-inspired concept) is crucial because it focuses on degrees of capability (related to a particular quality or skill) as opposed to underlying nature. Capacity for action has all of the possibility and mobility of a future-looking frame, and none of the fixity and discrimination of classification.

Big Data and the Quantified Self

Big data is in a moment that is pre-Coprenican, (original) world-is-flat, and ‘sail west from Europe for the Orient.’ That is to say that big data is in need of not just descriptive tools, but maps, cartographic representations that help to define, concretize, and conceptualize what exactly big data is and how to think about it.

A conceptual mapping of big data is necessary which would most obviously draw upon basic mapping principles (metaphorically and literally) and epistemological models. For example, one dimension of a big data map is numeracy. In the conceptualization of big data, so far the context has been individuated information, information about individual units, like people (e.g.; personal data), and the tensions between the subject of the data and the user of the data, namely institutions. There is now an emergent category (e.g.; group data), the sense of data arising from and belonging to a group.

The quantified self is a vanguard paradigm for understanding personal data and urban data a similar vanguard paradigm for understanding group data. The quantified self is inherently a big data problem, as manually-tracked ‘small data’ is now being replaced by automatically-collected ‘big data,’ and cloud-based methods are required for data processing, analysis, and storage.

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