ORCAA is a consulting company that helps companies and organizations manage and audit their algorithmic risks.

Algorithmic Auditing

ORCAA audits existing algorithms for accuracy, bias, consistency, transparency, fairness and timeliness,  following a 4-step approach. First, a deep dive into the high level design of the algorithm, including the assumptions on the type, quality, and quantity of data, the nature of data pre-processing, the algorithm itself, the structure and assumptions around the objective function and the optimization to that, the way the algorithm was trained, and the approach taken to monitor and update the algorithm. Second, matching the design to the implementation; this is done at the code level if it’s available and via black box testing if not. Third, the execution audit, in which we kick the tires of real-world constraints of the algorithm. In the fourth step we write up the process and include a “to-do” list of improvements and suggestions.

Algorithmic Auditing Training

ORCAA provides in-person corporate training to conduct audits and to build stakeholder matrices.

The Ethical or Stakeholder Matrix

A construction from the world of bio-ethics, the ethical or “stakeholder” matrix is a way of determining the answer to the question, does this algorithm work? It does so by considering all the stakeholders, and all of their concerns, be them positive (accuracy, profitability) or negative (false negatives, bad data), and in particular allows the deployer to think about and gauge all types of best case and worst case scenarios before they happen. The matrix is color coded with red, yellow, or green boxes to alert people to problem areas.

The Stamp of Approval

Once an ethical or stakeholder matrix has been built, an ORCAA stamp of approval can be awarded if there are no red boxes, or in other words if the algorithm is relatively robust to worst-case scenarios that would rise to the level of litigation or a violation of stakeholder rights.



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