Ethical AI and Librarianship
A Resource Guide
Confronting Bias: BSA’s Framework to Build Trust in AI
|
Field
|
Description | |
|---|---|---|
| Title | Confronting Bias: BSA's Framework to Build Trust in AI | |
| Type | Reports | |
| Creator | BSA (Business Software Alliance) | |
| Link | ||
| Creation Date | 06/01/2021 | |
| Last Updated Date | -- | |
| Summary | Prepared by BSA (Business Software Alliance), a global trade group representing the enterprise software industry, this report presents an AI Bias Risk Management Framework designed to help organizations conduct impact assessments that identify and mitigate bias risks throughout an AI system’s lifecycle. The report first defines AI bias and categorizes sources of AI bias across three AI lifecycle stages, such as problem formulation bias, sampling bias, and labeling bias in the design phase, proxy bias in the development stage, deployment bias, and misuse bias in the deployment phase. The report then introduces the core components of the framework:
|
|
| Topic | Ethical AI | |
| Source and Link | BSA (Business Software Alliance). https://www.bsa.org/ | |
| Access | Open | |
| Accessibility | -- | |
| Audience | General. Scholars and Students. | |
| Platform or Format | Document (.pdf) | |
| Length | 32 pages | |
| Geography | USA | |
| Language | ENG/JPN/KOR | |
| Description Date | 06/24/2025 |