Adversarial Feelings

Neural Networks are nowadays widely used to detect, classify and reconstruct emotions, mainly in order to map users behaviours and to affect them in effective ways. But what happens when we use Artificial Intelligence to perform human feelings and artistic behaviors? And what if we use it to produce a simulation of subjectivity and its agencies, rather then to affect consumers? Adversarial Feelings is an attempt to inform non-human intelligence with emotional data sets, in order to build an algorithmic intimacy through those intelligent devices. The goal is to observe subjective/affective dimension from the outside, to speak about human emotions as perceived by non-human eyes. Transposing them into a new shape helps Lorem to embrace a new perspective, and to recognise fractured experiences.

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Adversarial Feelings recently won RE:HUMANISM prize (for intersections between AI and Arts) and was shown at Galleria Nazionale di Arte Moderna and Albumarte (Rome), at KEYS (Berlin), and Saturnalia (Macao). The video was screened at Sheffield International Documentary Festival (World Première), on June 10th, 2019.