Addressing AI Ethics & Compliance Concerns
Michael R. Wood is a Business Process Improvement & IT Strategist Independent Consultant. He is creator of the business process-improvement methodology called HELIX and founder of The Natural Intelligence Group, a strategy, process improvement and technology consulting company. He is also a CPA, has served as an Adjunct Professor in Pepperdine's Management MBA program, an Associate Professor at California Lutheran University, and on the boards of numerous professional organizations. Mr. Wood is a sought after presenter of HELIX workshops and seminars in both the U.S. and Europe.
Managing AI application development and deployment projects is impacting the role of project managers in a multitude of ways. The rapid increase of AI projects requires project managers to possess ever-deeper understanding of AI concepts and technologies. They must also have the ability to effectively communicate with data scientists, engineers and other AI tech-leaning stakeholders involved in the project.
Project managers are now tasked with overseeing the development and integration of AI solutions into existing and new systems and processes, as well as ensuring that these solutions meet the desired business objectives. This requires them to have a strong grasp of not only project management principles, but also AI ethics, regulations, and best practices.
As project managers, it is crucial to prioritize ethics and compliance with regulations when implementing AI applications. Several key activities and actions can be added to project plans to ensure that AI projects adhere to ethical standards and regulations. Specifically, the project plan needs to reflect how the following are addressed:
- Privacy concerns: As businesses collect and analyze massive amounts of data to power AI algorithms, there is an increased risk of infringing on individuals’ privacy rights. The project requirements need to include the creation of policies and practices to ensure that data…
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