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Algorithmic Transparency

Ethics & Safety

The ability to explain how an algorithm works, what data it uses, and why it makes certain decisions.

Definição

Algorithmic transparency is needed so that users, developers, regulators and product owners can trust automated decisions. It does not always mean revealing all the code. Sometimes a clear description of the logic, limitations, data, quality metrics and appeal methods is enough.

Exemplo

The recommendation platform explains that a product is shown based on past views, similar purchases, and the selected category.

Por que importa

The term is important for AI systems that influence people: without transparency, errors, biases and abuses are difficult to detect.

Como funciona

Transparency is created through documentation, explainable models, reports, interface tips, logs, auditing and clear rules for the system.

Onde é usado

  • explanation of solutions
  • user trust
  • audit and regulation

Limitações

Disclosing too much may compromise security or trade secrets. We need to find a balance between clarity and security of the system.

FAQ

Why is “Algorithmic Transparency” useful to know?

The term is important for AI systems that influence people: without transparency, errors, biases and abuses are difficult to detect.