Masterclass Certificate in AI & Discrimination Case Studies

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The Masterclass Certificate in AI & Discrimination Case Studies is a comprehensive course that addresses the critical issue of bias and discrimination in artificial intelligence. This program dives into real-world case studies, providing learners with a deep understanding of how AI systems can perpetuate and magnify existing inequalities, and what can be done to prevent it.

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AboutThisCourse

In today's tech-driven world, the demand for professionals who can ensure ethical and unbiased AI practices is skyrocketing. This course equips learners with the essential skills to identify and mitigate discriminatory outcomes in AI systems, making them highly valuable in a variety of industries, from tech to finance, healthcare, and beyond. By earning this certificate, learners demonstrate their commitment to responsible AI development and deployment, setting themselves apart in a competitive job market. This course is not just about staying current with industry trendsโ€”it's about shaping a more equitable future for all.

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CourseDetails

โ€ข Unit 1: Introduction to AI & Discrimination
โ€ข Unit 2: AI Bias: Understanding the Causes
โ€ข Unit 3: Identifying Discrimination in AI Systems
โ€ข Unit 4: Case Study: Facial Recognition Technology
โ€ข Unit 5: Case Study: Gender & Voice Recognition
โ€ข Unit 6: Case Study: Hiring Algorithms & Job Discrimination
โ€ข Unit 7: Addressing AI Discrimination: Legal Frameworks & Regulations
โ€ข Unit 8: Ethical Considerations in AI Development
โ€ข Unit 9: Strategies for Mitigating AI Bias
โ€ข Unit 10: Future of AI: Promoting Fairness & Accountability

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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  • DigitalCertificate
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MASTERCLASS CERTIFICATE IN AI & DISCRIMINATION CASE STUDIES
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London School of International Business (LSIB)
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05 May 2025
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