Executive Development Programme in Ethical Data Use for Equity
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⢠Introduction to Ethical Data Use: Understanding the importance of ethical data use, principles of data ethics, and the role of executive leadership in promoting ethical data practices.
⢠Data Privacy and Security: Exploring data protection laws, security best practices, and incident response strategies to ensure data privacy and minimize risks.
⢠Bias and Discrimination in Data: Recognizing and addressing unconscious bias, prejudice, and discrimination in data collection, analysis, and decision-making processes.
⢠Data Governance and Accountability: Establishing data governance frameworks, roles, and responsibilities to ensure transparency, accountability, and compliance with ethical standards.
⢠Inclusive Data Practices: Encouraging diversity and inclusion in data representation, addressing underrepresentation, and fostering equitable access to data-driven benefits.
⢠Ethical AI and Machine Learning: Examining the ethical implications of AI and machine learning technologies, including algorithmic fairness, transparency, and explainability.
⢠Data Ethics Communication: Developing strategies for effective communication of data ethics principles and expectations to employees, stakeholders, and the public.
⢠Ethical Data Use Case Studies: Analyzing real-world examples of ethical data use and misuse to inform best practices and promote learning.
⢠Data Ethics and Organizational Culture: Cultivating a data ethics-focused culture within the organization, emphasizing integrity, responsibility, and long-term value creation.
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