What is Algorithmic Transparency
The ability to explain how an algorithm works, what data it uses, and why it makes certain decisions.
Definition
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.
Example
The recommendation platform explains that a product is shown based on past views, similar purchases, and the selected category.
Why it matters
The term is important for AI systems that influence people: without transparency, errors, biases and abuses are difficult to detect.
How it works
Transparency is created through documentation, explainable models, reports, interface tips, logs, auditing and clear rules for the system.
Where it is used
- explanation of solutions
- user trust
- audit and regulation
Limitations
Disclosing too much may compromise security or trade secrets. We need to find a balance between clarity and security of the system.