SKILL BENCHMARK

Generative AI Foundations for IT Proficiency (Advanced Level)

  • 10m
  • 10 questions
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The Generative AI Foundations for IT Proficiency (Advanced Level) benchmark measures your extensive working experience with artificial intelligence (AI) and common tools and practices in the information technology (IT) domain. You will be assessed on your skills in anonymizing sensitive information for AI systems, following ethical guidelines and best practices for developing ethical AI models, reducing potential biases from sensitive features, and more. A learner who scores high on this benchmark demonstrates an advanced-level understanding of AI, generative AI, and the best practices associated with both when used in IT. They can work independently with little or no supervision from a more advanced AI practitioner.

Topics covered

  • analyze an AI model to detect and identify biases
  • anonymize and pseudonymize data to ensure the privacy and security of personally identifiable information (PII)
  • configure content safety filters in Azure OpenAI to prevent generative AI from producing harmful content
  • describe and assess the ethical impacts of AI models on individuals, society, and various stakeholders
  • describe ethical guidelines and best practices for developing AI models that meet ethical and societal expectations
  • describe how ignoring sensitive features when training a predictor doesn’t necessarily address disparities
  • identify legal and compliance considerations when developing AI models with a strong ethical focus
  • identify strategies to develop AI models that adhere to ethical standards, promoting fairness and ethical behavior
  • identify the goals associated with each AI principle identified in the Responsible AI Standard
  • reduce the correlation between sensitive features (like race) and other variables to mitigate bias affecting model predictions