Data61’s research concerns the transparency and feedback in ML in order to Читать еще
Algorithm Transparency: Users are provided with insights into how their feedback influences the content they see, fostering trust and increasing engagement with the platform.
Moreover, the concept provides the data owner knowledge about whether their data was distributed without permission and feedback about the planned use case of a product thus creating a transparent... Читать еще
This scoping review analyzes the literature on algorithms assessing skin disease for data set criteria, emphasizing transparency and concerns about bias.
That data labor is one of the two least transparent subdomains is consistent with prior work documenting widespread ethical challenges with data labor (Gray and Suri, 2019a; Crawford, 2021; Hao and Se... Читать еще
Specifically, algorithm transparency can be used to Читать еще
- Adaptability: Feedback loops enable algorithms to learn from new data, making them more adaptable to changes. Читать еще
Data visualization can help achieve AI transparency by making data and AI systems more accessible, comprehensible, and engaging.
Transparency International Anti-Corruption Helpdesk Algorithmic transparency. Читать еще