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Aiプロジェクト倫理

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Overview

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Learning outcomes

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Course content

1

倫理的設計原則

2

データプライバシーと透明性

3

バイアス検出と緩和

4

責任あるaiデプロイメント

5

法的規制とコンプライアンス

Career Path

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Key facts

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Why this course

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Everything you need to know before you start

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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 Kingdom
ST
Sarah Thompson
GB · Course completed

Just finished Aiプロジェクト倫理 and it was exactly what I needed. I wanted to understand how to keep AI projects on the right side of ethics, and the short video clips plus real‑world examples from social media apps made it super easy to follow. I actually used the “ethical checklist” they gave us to review a chatbot I was building, and it helped me spot a privacy issue before launch. The stuff was fresh and the instructor answered our Slack questions fast. I’d give it a solid 4‑star – totally worth the time!

MC
Michael Carter
US · Course completed

Taking the Aiプロジェクト倫理 course at Stanmore School of Business aligned perfectly with my goal to integrate ethical AI practices into our product roadmap. The modules on bias detection and mitigation gave me a concrete framework that I applied to a pilot recommendation system, reducing disparate impact scores by 22%. The case studies from finance and healthcare were up‑to‑date, and the downloadable templates made it easy to draft an ethics charter for my team. Overall, the course material was rigorous and directly relevant to my role as a product manager, and I feel confident recommending it to colleagues.

ST
Sakura Tanaka
JP · Course completed

Wow! This course blew my mind! The Aiプロジェクト倫理 program at Stanmore School of Business gave me hands‑on skills like creating fairness dashboards and running impact assessments in just a few weeks. I loved the interactive simulation where we had to decide on data‑collection policies for a smart‑city project – it felt like real life! The PDFs were gorgeous, the Japanese‑English bilingual examples helped me bridge cultures, and I now feel ready to lead an ethics board at my startup. Five stars, absolutely!

ZD
Zanele Dlamini
ZA · Course completed

The Aiプロジェクト倫理 course offered a comprehensive and meticulously structured curriculum that matched my learning objectives as a data‑science lead in a telecom firm. Each week began with a theoretical overview of ethical principles, followed by a lab session where we implemented the “fairness‑aware training” algorithm using Python’s AIF360 library. The provided reading list, which included the latest IEEE standards, was instrumental in preparing our department’s compliance audit. I particularly appreciated the final capstone project where I drafted a full ethical impact report for a predictive maintenance model, which has already been submitted to senior management. The course materials were of high quality—clear slides, well‑commented code, and multilingual subtitles. My satisfaction is reflected in the 4‑star rating, as I wish there had been more live Q&A sessions, but overall it was an excellent learning experience.





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Recently updated!

May 2026