Ethics in AI Course Online (Instructor-led)
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Ethics in AI Course Delivered Online
This Ethics in AI course helps you become smarter and more responsible when using technology. You’ll learn to identify bias in AI systems, understand the rules behind AI, and think about how your decisions can impact people. These skills are helpful in any job, from technology to business, and even in making everyday choices.
Delivery Method
Delivered online by a real instructor using video conferencing software.
This interactive, tutor-led online training course is designed to explore the critical ethical considerations surrounding Artificial Intelligence (AI) in today’s rapidly evolving technology landscape. Participants will gain a foundational understanding of AI ethics, delve into real-world cases, and develop practical strategies to identify and mitigate ethical risks in AI systems. Through discussions, hands-on activities, and collaborative learning, this course equips professionals with the tools to ensure ethical AI development and deployment.
CPD Points
2
Course Duration
2 hours
Who is the Introduction to Generative AI Suitable For?
This Ethics in AI course is ideal for professionals in technology, compliance, or policy roles who want to ensure ethical AI practices within their organisations or projects.
What's Included in the Introduction to Generative AI Course?
1. Introduction to AI Ethics
Definition and importance of AI ethics (ethics vs. compliance vs. morals).
The societal impact of AI and the need for public trust.
Overview of key ethical challenges: bias, transparency, privacy, and
accountability.
Activities: Icebreaker introductions and agenda walkthrough.
2. Core Ethical Principles & Frameworks
Fairness, accountability, transparency, privacy, and safety in AI.
Introduction to AI ethics frameworks (IEEE, UNESCO, EU Commission).
Activities: Knowledge check via quiz and visual examples.
3. Real-World Cases & Impacts
Examples of biased AI systems and their societal consequences.
The role of public opinion, media, and regulation in ethical AI use.
Activities: Case study on a biased loan application AI, with group discussions
on mitigation strategies.
4. Mitigating Bias & Hands-On Mini-Demo
Techniques for detecting and addressing bias in training data and models.
Demonstration of bias checks and mitigation techniques using a Jupyter notebook.
Activities: Practical walkthrough of model fairness and rebalancing methods.
5. Regulatory Landscape & Governance
Overview of key AI regulations (GDPR, EU AI Act proposals, U.S. guidelines).
Internal governance processes: ethics committees, audits, and crossfunctional teams.
Activities: Group reflection on governance gaps and scenario-based
discussions.
6. Breakout Activity: Ethical Risk Assessment
Structured approach to identifying and mitigating ethical risks.
Stakeholder analysis and mitigation strategy development.
Activities: Group exercise on assessing risks in a public school AI system.
7. Quiz & Reflection
Recap of ethical principles, real-world cases, and mitigation strategies.
Personal reflection on lessons learned.
Related Content
For short courses a completion certificate is available at the end of the course. You can screenshot this or print to confirm completion of the training.
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PC / Mac
OS: Microsoft Windows XP / Mac OS X 10.6
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Chrome 16+, Firefox 8+, IE9, Safari for Mac 5+
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Memory
Minimum of 512MB DDR
Software
Flash Player 10+
Download Speed
Broadband (3Mb+)
Mobile
The content has been tested and is known to work on iOS devices from the iPad 2 onwards and iPhone 4 onwards.
Tested on some Android devices including the Samsung Galaxy tab II and the Kindle Fire HD.
Beyond this is should work on most other Android devices but there may be some exceptions depending on OS version and browser used.
E-learning is flexible, efficient, and cost-effective, meaning you can progress through the modules at your own pace, at your own time to fit the training in around your work and personal life.
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Step 1
Click the 'Buy' or 'Add to cart' button and you will be taken to our payment/booking page where you can choose to pay online now using a debit/credit card or you can pay later by invoice.
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Step 3
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