Artificial intelligence and machine learning (AI/ML) are becoming increasingly influential in mainstream KM, whether it’s in powering digital transformation; automatically connecting us to relevant people and content based on similarities of context and activity; extracting concepts from documents, images, and audio-visual files; or finding meaningful patterns in very large datasets. The very complexity of these tools renders them opaque to business users. Too often, people are given AI capabilities and are expected to use them without the necessary safeguards. How are we to know whether the tools we are deploying are fit for our particular purpose and that they do not carry hidden biases or errors? Klein, a research psychologist famous for pioneering in the field of naturalistic decision making, shares five accessible and practical tools from his new book for exploring, understanding, and explaining the boundaries, constraints, and AI/ML applications so that we can direct their uses more effectively, safely, and securely.
Gary Klein, CEO, Author, Snapshots of the Mind