Explaining AI/ML models to nontechnical stakeholders is challenging and affects their trust and adoption in production. Data scientists must adopt three practices to enhance model explanations, gain trust, and improve the responsible and ethical use of AI/ML.
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Maryam Hassanlou
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Maryam Hassanlou is a Director Analyst with extensive experience in designing, developing, implementing, and evaluating Machine Learning, Artificial Intelligence, Knowledge Graphs, Decision Support Systems, Operation Research, and Expert System models. With a passion for bridging the gap between technology and business, she has a proven track record of delivering meaningful insights and impactful solutions to organizations and also in research publications. Her areas of focus include Decision Intelligence, ML/AI use cases implementation, statistical analysis, Business Intelligence, AI Indexing, MLOps, and Task and Process Mining. With a strong background in analytics, Maryam has a deep understanding of the value that data can bring to decision-making processes and has developed effective strategies for leveraging data to drive better outcomes.
Bio from: gartner-data-analytics-us-2026
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