Algorithm Assurance Services

Perspectives

Managing Algorithmic Risks

Safeguarding the use of complex algorithms and machine learning

Often algorithms operate like black boxes for decision making, and are not controlled appropriately, though they are vulnerable to a variety of risks. A robust algorithm control framework is fundamental to algorithm risk management.

Complex algorithms and machine learning systems are used to accelerate performance, and create differentiation. But they often operate like black boxes for decision making, and may not be controlled. Learn to harness the power of your algorithms and manage with a robust risk management framework.

Analysis

Board Oversight of Algorithmic Risk

Directors have long had oversight responsibility for risk, including risks from emerging technologies. Risks associated with the use of algorithms—risks that are likely to grow unless organizations develop processes to address algorithmic risk, including an appropriate level of board oversight.

Directors have long had oversight responsibility for risk, including risks from emerging technologies. Risks associated with the use of algorithms—risks that are likely to grow unless organizations develop processes to address algorithmic risk, including an appropriate level of board oversight.