What you will learn?
Gain a foundational understanding of key ethical principles such as fairness, accountability, transparency, and privacy, and how they apply to AI technologies.
Learn best practices for the responsible use of Natural Language Processing (NLP) tools and Large Language Models (LLMs) to minimize risks and ensure ethical deployment.
Develop strategies for implementing AI within business processes to enhance efficiency while adhering to ethical standards and maintaining organizational values.
Understand how to identify potential biases in AI systems and implement strategies to mitigate risks, ensuring fair and unbiased outcomes.
Learn how to develop AI governance frameworks, maintain proper documentation, and manage AI-related crises or incidents effectively, ensuring long-term ethical practices.
Target Audience
This course is designed for business leaders, AI professionals, compliance officers, and product managers seeking to understand and apply ethical principles in AI deployment.
It’s ideal for senior executives aiming to integrate AI responsibly, data scientists and engineers working with AI technologies, and compliance professionals ensuring regulatory alignment.
Product managers and designers focused on AI-powered products will benefit from ethical considerations in design and implementation, while legal and policy advisors can gain insights into AI governance.
Additionally, ethics and sustainability officers aiming to embed ethical AI practices within organizational frameworks will find the course highly relevant.
About this course
Requirements
While the course is designed to be accessible to a wide range of participants, those with a foundational knowledge in these areas may find it easier to grasp the more advanced ethical considerations and practical applications.
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