Algorithm Bias Auditor
Qualifications
Every career requires an element of study and academic qualification, and there can be several study routes and pathways you can take. In following any academic pathway you will study subjects that contribute to the specialised knowledge required to achieve your career goals. These qualifications provide a future employer with the evidence that you have the desired knowledge, understanding and experience of their industry, so it’s important to consider the various types of qualifications available to you and to understand how they can boost your career and create opportunities for you.
- B.Tech Artificial Intelligence and Machine Learning
- M.Tech Artificial Intelligence
- M.E. Computer Science and Engineering
- M.Sc. Data Science
- PG Diploma Artificial Intelligence and Machine Learning
Tasks
- Investigating potential algorithmic risk and bias to ensure ethical responsibilities are met.
- Examining data sets used to train the models to determine if certain groups are underrepresented or overrepresented and reviewing for any privacy regulation violations.
- Assessing the performance of algorithms on real data to test for hidden biases resulting from complex correlations.
- Providing a trusted and objective third party review, validating legal compliance of algorithms, and ensuring they are being used appropriately.
- Certifying algorithms as “trusted” and escalate to remedial team when black-box issues are detected.
- Create and maintain an inventory of all algorithms across the business.
- Produce bias guidelines to lead development teams’ understanding of appropriate and non-appropriate algorithm development.
- Develop matrix-style co-review models with development teams. Initiate reporting methodologies with finance, legal, executive and board-level management.
Progression Routes
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