Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI

Data analytics 2024    |    Intermediate
  • 13 videos | 35m 37s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
This course focuses on the ethical aspects of data analytics and artificial intelligence (AI) in our rapidly evolving world. It explores how AI and data analytics impact our society and emphasizes the importance of addressing ethical concerns, particularly data bias. In this course, students will learn to identify and address data bias in AI, exploring its real-world implications. Additionally, students will delve into the ethical aspects of AI, including transparency, fairness, and regulatory compliance, while considering the manager's role in ensuring ethical AI practices. By the end of this course, students will have a thorough grasp of the ethical issues that arise in AI and data analytics and be able to identify, assess, and mitigate bias in AI systems.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline data bias and its potential impact on ai outcomes and decision-making
    Recognize the sources of bias in data and their implications in ai applications
    Identify real-world examples of data bias affecting ai systems
    Outline the ethical considerations related to ai decision-making
    Recognize the role of transparency and fairness in ai model development
    Identify methods for auditing ai models for fairness and inclusivity
  • Outline regulatory and compliance considerations in ai projects
    Recognize the implications of bias on customer perception and brand reputation
    Outline the role of diversity and inclusivity in data collection and model development
    Recognize the managerial responsibilities in ensuring unbiased ai solutions
    Formulate guidelines for addressing ethical concerns in ai projects
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 11s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 4m 4s
    After completing this video, you will be able to outline data bias and its potential impact on AI outcomes and decision-making. FREE ACCESS
  • Locked
    3.  Sources of Bias in Data
    4m 10s
    Upon completion of this video, you will be able to recognize the sources of bias in data and their implications in AI applications. FREE ACCESS
  • Locked
    4.  Bias in AI Case Studies
    2m 46s
    After completing this video, you will be able to identify real-world examples of data bias affecting AI systems. FREE ACCESS
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    5.  Ethical Considerations Related to AI
    4m 13s
    Upon completion of this video, you will be able to outline the ethical considerations related to AI decision-making. FREE ACCESS
  • Locked
    6.  Transparency and Fairness in AI Model Development
    4m 47s
    After completing this video, you will be able to recognize the role of transparency and fairness in AI model development. FREE ACCESS
  • Locked
    7.  AI Model Auditing for Fairness and Inclusivity
    2m 24s
    Upon completion of this video, you will be able to identify methods for auditing AI models for fairness and inclusivity. FREE ACCESS
  • Locked
    8.  Regulatory and Compliance Considerations in AI Projects
    2m 30s
    After completing this video, you will be able to outline regulatory and compliance considerations in AI projects. FREE ACCESS
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    9.  Implications of Bias for Customer Perception
    2m 27s
    Upon completion of this video, you will be able to recognize the implications of bias on customer perception and brand reputation. FREE ACCESS
  • Locked
    10.  Diversity and Inclusivity
    1m 39s
    After completing this video, you will be able to outline the role of diversity and inclusivity in data collection and model development. FREE ACCESS
  • Locked
    11.  Manager's Role in AI Ethics Strategy
    1m 48s
    Upon completion of this video, you will be able to recognize the managerial responsibilities in ensuring unbiased AI solutions. FREE ACCESS
  • Locked
    12.  Address Ethical Concerns in AI
    3m 3s
    After completing this video, you will be able to formulate guidelines for addressing ethical concerns in AI projects. FREE ACCESS
  • Locked
    13.  Course Summary
    36s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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