José Luiz Braga 342 becomes exacerbated; the bottom-up incidence is hampered and impoverished. Recognizing this tendency toward imbalance, which prioritizes the exercise of established patterns, restricting both sectoral variations and their selection possibilities – the chal- lenge here is how to avoid social sclerosis – which loses adap- tive, transformative, and corrective qualities. 4. Derivations and conclusion The five challengesmentioned above are just a small set that, from a purely communicational point of view (referring to social interaction), illustrate the general state of the issue. Other authors and other angles of observation offer varied perceptions - which, together, form a comprehensive understanding. Mittelstadt et al. (2016) point out some ethical issues related to the processes and activations of algorithms: Inconclusive evidence leading to unjustified ac- tions; inscrutable evidence resulting in opacity; misdirected evidence resulting in bias; unfair outcomes leading to discrimination; deviant effects posing challenges to users’ autonomy and infor- mational privacy (listing extracted from titles of some items in the article). Yuval Noah Harari (2023) observes the risk of a technological pace that is faster than the capacity of its cultural reception: [...] A.I. systems with the power of GPT-1 and be- yond should not be entangled with the lives of bil- lions of people at a faster pace than cultures can safely absorb them. A race to dominate the market should not set the speed of deploying humanity’s most consequential technology. We should move at whatever speed it enables us to get this right. (p. 1). InMarch 2023, in one of the discussions taking place on the Compós List, André Lemos submitted suggestions regarding
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