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Learn Data Bias, earn certificates with paid and free online courses from University of Pennsylvania, University of Glasgow and other top universities around the world. Read reviews to decide if a class is right for you.
Learn how to design computer algorithms to be more ethical when making complex decisions.
Explore sex and gender configurations in data, focusing on the concept of "persons capable of pregnancy" and its implications for counting and categorization in research and policy.
Explore historical intersections of race, gender, and medicine in this thought-provoking talk on "The Physician's Negro" by Harvard scholar Evelynn Hammonds at UCLA's IPAM workshop.
Explore AI strategies for business transformation, explainable AI, responsible governance, and organizational impact. Learn to recognize biases, ensure data privacy, and construct ethical AI frameworks.
Learn to craft compelling data narratives, from problem definition to visualization, enhancing your ability to communicate insights effectively and drive data-informed decision-making.
Explore ethical AI use in academia, covering tools, applications, and integrity. Gain skills for responsible AI integration in research and writing while addressing key ethical concerns.
Develop skills to prepare, engineer, and validate data for machine learning models. Learn to identify biases, improve generality, and enhance model accuracy through thoughtful feature engineering.
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Learn how to remove biases from products and build inclusive technology
Unlock your data's potential by learning to detect and mitigate bias for precise analysis and reliable models.
Explore the complex, ever-evolving landscape of AI with an intersectional DEI lens.
Explore the ethics, issues, and limitations of generative AI. Gain insights into AI models, examine case studies on ethical dilemmas, and learn about data bias, IP rights, deepfakes, and the impact on work and creativity.
Explore ethical and legal frameworks for data professionals, addressing challenges in Big Data, AI, and Analytics while emphasizing responsible practices and societal impact.
Explore gender considerations in water resource modeling, addressing gaps in implementing Dublin principles and SDGs for inclusive and sustainable water management practices.
This course will teach you some of the best practices to effectively implement augmented analytics initiatives in your organization.
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