Certificate in Measuring Algorithmic Bias in Policy

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The Certificate in Measuring Algorithmic Bias in Policy is a comprehensive course aimed at equipping learners with the necessary skills to identify and mitigate algorithmic bias in policy-making. This course emphasizes the importance of fairness, accountability, and transparency in artificial intelligence systems, which are increasingly being used in policy decisions that significantly impact society.

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In today's data-driven world, there is a growing demand for professionals who can ensure that AI systems are fair and unbiased. This course provides learners with a solid understanding of the underlying concepts and methods for measuring and mitigating algorithmic bias, thereby enhancing their career opportunities in this rapidly growing field. Through hands-on exercises, case studies, and real-world examples, learners will acquire practical skills in identifying and mitigating bias in AI systems, enabling them to contribute to more equitable and just policy decisions. By completing this course, learners will demonstrate their expertise in this critical area, making them highly valuable to employers seeking to build fair and unbiased AI systems.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Algorithmic Bias
โ€ข Understanding Algorithms and their Impact on Policy
โ€ข Measuring Algorithmic Bias: Methods and Tools
โ€ข Data Collection and Preprocessing for Bias Analysis
โ€ข Common Types of Bias in Algorithms: Identification and Examples
โ€ข Quantifying Bias in Algorithms: Metrics and Evaluation
โ€ข Bias Mitigation Techniques: Strategies and Considerations
โ€ข Ethics and Regulations in Algorithmic Decision Making
โ€ข Case Studies: Real-World Examples of Algorithmic Bias and Mitigation
โ€ข Best Practices for Measuring and Addressing Algorithmic Bias in Policy

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN MEASURING ALGORITHMIC BIAS IN POLICY
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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