Define an organization to anticipate risks
Artificial Intelligence & Ethics: Define an organization to anticipate risks
Today, a large number of operations benefit from technological advances: predictive analysis, decision support, matching, etc. Through algorithms, organizations extract, model, and even imagine new techniques to optimize their processes and revenues. But while it represents a solution to efficiency, this democratization of algorithms can be perceived as a danger, particularly because of the myopia of non-deterministic algorithms. This is reflected at two levels: the first is the inability to integrate explicit objectives and the second is the difficulty, or even impossibility, to explain the reasoning followed.
The supervision of computer programs becomes necessary to ensure transparency and loyalty. The framework described allows companies to meet a set of legal and ethical standards (Part 1), which tend to be reinforced over time. To control the costs associated with compliance, companies can rely on data protection systems. The objective? Define their ethical standards, develop new processes to ensure transparency, and set up a dedicated organization to set their position on the market as ethical players (part 2).
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