Predictive algorithms and the use of automated decision systems for legal issues and regulatory affairs.

On this presentation is disucussed the basic definition of an algorithm as: a set of step-by-step instructions for solving a problem or performing a task. Examples are also given: Building blocks; Retrosynthesis algorithms; Natural computing and Bioinspired algorithms (Swarm intelligence (ant colony, AIS systems, genetic)); Fuzzy logic; Quantum computing algorithms. It is also discussed the legislation for their design. It is necessary to certify that in its preparation no biases have been voluntarily or involuntarily introduced that alter its operation according to the interests or inclinations of the programmers the accuracy of its predictions will depend on the quality of the data used in its preparation. European Parliament, it will be necessary to "regularly assess the representativeness of datasets [as well as] examine the accuracy and importance of predictions". Regulate the mechanisms that will ensure an adequate audit of artificial intelligence systems. Specific rules: REACH (Registration, Evaluation, Authorization and Restriction of Chemicals)) Regulation EC Nº 1907/2006 (art.13; 25). In addition, is discussed the use and Protection of Personal Data in the context of algorithms development and software programming. Protection of natural persons in relation to their personal data. Fundamental right (national level Art. 18 EC, Art. 1 LOPD at European level TFE Art.16, CDFUE Art. 8, Art. 2 GDPR) balance with other fundamental rights, in accordance with the principle of proportionality. Respect for personal, family, home and communications privacy; freedom of thought; consciousness and religion; freedom of expression; etc. Special categories of data: Sensitive data Art. 4 GDPR