Executive Development Programme in AI Bias: Strategic Advantage
-- ViewingNowThe Executive Development Programme in AI Bias: Strategic Advantage is a certificate course that addresses the critical issue of AI bias and its impact on decision-making processes in organizations. This programme is designed to equip learners with the essential skills to identify and mitigate AI bias, providing a strategic advantage in today's data-driven world.
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⢠Understanding AI Bias: Introduction to AI, machine learning, and deep learning, and how biases can be introduced in each stage of the AI lifecycle.
⢠Types of AI Bias: Exploration of different types of AI bias, such as selection bias, confirmation bias, and algorithmic bias, and their impact on decision-making.
⢠Ethics in AI: Examination of ethical considerations in AI development, deployment, and governance, including fairness, accountability, transparency, and privacy.
⢠Addressing AI Bias: Strategies and techniques for identifying and mitigating AI bias, including data preprocessing, feature selection, model selection, and model validation.
⢠AI Bias in Real-World Scenarios: Analysis of AI bias in various industries, such as finance, healthcare, and criminal justice, and the consequences of biased AI systems.
⢠AI Auditing and Monitoring: Introduction to AI auditing and monitoring techniques to ensure fairness, accountability, and transparency in AI systems.
⢠AI Bias and Legal Frameworks: Overview of legal and regulatory frameworks for AI bias, including GDPR, CCPA, and other relevant laws and regulations.
⢠AI Bias and Organizational Culture: Discussion of how organizational culture, values, and norms can influence AI bias and the importance of fostering a culture of ethics and accountability in AI development and deployment.
⢠AI Bias and Stakeholder Engagement: Examination of the role of stakeholder engagement in addressing AI bias, including the involvement of diverse stakeholders in AI development, deployment, and governance.
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