José Luiz Braga 346 Actions in the internal space of technological expertise. Some of the challenges posed by interactional digital algo- rithms can and should be solved directly in the development of the algorithm itself - or by correcting the structure of those already in action. Whether it’s defining selection categories, the process for collecting data, searching for the right correlation between input and output, adjusting objectives (for developers) and delivery (for users); whether in the transparency of logic and strategies before users. This implies the development of both technological skills and creativity - aimed not only at servicing the contracting companies and public sectors, those who control the develop- ment of the algorithms, but also at meeting objectives that are democratic, socially creative, egalitarian, and respectful of social diversity. We believe that these aspects (among others) are part - or should be part - of the professional ethics undertaken by algorithm developers. Normative regulations. One of the most explicit de- mands in the social environment concerns the need for transparency regarding the operational logic, objectives, data pro- cessing (and type of data collected), selective criteria, strategies, and targets in the constitution of algorithm target audiences. This transparency implies a legal regulation that makes algorithms integrate into society and culture expressly, by com- plying with verifiable norms. Through such transparency, it becomes possible to control activities regarding the legitimacy of processes, the veracity of propositions, accountability for con- sequences – and everything else that, in social activities, may imply legal deviations – civil, criminal, or regarding democratic respect. Part of this regulation can be self-controlled by the developers, companies, and social sectors participating in the al- gorithmic action – but the latter requires a system of legislated norms and, therefore, subject to the logic of the Rule of Law, ensuring that the interactional patterns of algorithms harmonize with the cultural sphere in which they are inserted and on which they operate. Academic research activities. These activities are rel- evant to the issue at hand, particularly concerning generative
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