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AI and Ethics

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Overview

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Learning outcomes

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Course content

1

Foundations Of Ai Ethics

2

Bias And Fairness In Machine Learning

3

Privacy And Data Governance

4

Accountability And Transparency In Ai

5

Regulatory And Policy Frameworks

Career Path

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Key facts

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Why this course

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The AI and Ethics course perfectly aligned with my goal of integrating responsible AI practices into our product roadmap. The modules on bias detection gave me a concrete framework I could apply immediately—last week I led a workshop where we used the fairness‑metrics toolkit to audit our recommendation engine. The reading pack, especially the case studies on autonomous vehicles, was both rigorous and up‑to‑date, making the theory feel directly relevant. Overall, the instruction was clear, the materials were top‑quality, and I left the course confident that I can champion ethical AI within Stanmore School of Business and beyond.

RS
Rafael Silva
BR · Course completed

I took this class hoping to get a better grip on the ethical side of AI, and it delivered. The videos were easy to follow and the real‑world examples—like the chat‑bot privacy breach we dissected—made the concepts click. I learned how to draft a simple AI ethics policy for my startup, which I’ve already shared with my team. The course material was solid, and the interactive forums helped me see different perspectives from classmates around the globe. All in all, a great experience that gave me practical tools I can use right away.

FW
Felix Wagner
DE · Course completed

What an inspiring journey! The AI and Ethics course blew me away with its hands‑on simulation of an ethics board reviewing a facial‑recognition system. I walked away with a clear step‑by‑step process for conducting impact assessments, and I even built a quick prototype using the bias‑mitigation library we covered in week three. The lecture slides were crisp, the guest speaker from the European Commission added real‑world relevance, and the lively discussions kept me engaged throughout. I’m thrilled to apply these new skills to my consulting projects.

RK
Rahul Kapoor
IN · Course completed

The course was exceptionally thorough. Each module broke down a complex topic—such as algorithmic transparency—into digestible parts, and the accompanying worksheets forced me to practice writing transparency reports for a mock health‑care AI system. I especially appreciated the detailed rubric for the final capstone project, which guided me in developing a comprehensive ethical audit checklist. The reference articles were current and sourced from reputable journals, reinforcing the credibility of the content. Overall, the learning experience was highly structured and met all my expectations for a deep dive into AI ethics.





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Recently updated!

May 2026