Ethics in Modeling

Accidentally finding yourself on the wrong side of the ethical boundaries in AI can be detrimental to companies. This thought-provoking one-day course will tackle the contentious issue of ethics in AI through vivid case studies and interactive discussion, so you can prevent ethical risks in your models and host meaningful discussions on this topic with your colleagues.

Duration: 1 day

Star Level: Master

Certification: Yes


MIacademy / Badge Overview / Open Course Calendar / 3302 Ethics in Modeling

Course Description

With the rise of AI all around us, new questions and challenges constantly arise. How fair or biased is AI? How can we ensure it is being used ethically? Ethics is rarely conclusive; there are always pros and cons. Therefore, being educated and able to position yourself in a debate is key. This one-day course will provide you with a thorough understanding of the importance of ethics in AI through real-life examples of the consequences of unethical practice. We will approach ethics from a range of perspectives: from contemporary philosophers to the guidelines by Google, discussing privacy, transparency, bias, fairness, and responsibility. This training will follow accessible and real case studies to translate ethical terminology into business examples. Along with hands-on activities where participants identify and mitigate risks in every step of model creation. Finally, we end with a debate in House of Commons style, where participants must argue for or against a divisive case.

Significant time is spent equipping you with the skills to recognize the difference between ethics and bias, checking and correcting for bias in AI applications, and forming critical thought on ethically applying AI.


Why is this for you?


Ethics in AI is not only the concern of philosophers but also of the AI business practitioners and AI experts. Over the past years, and especially since the introduction of the GDPR, there is a growing awareness of using AI ethically. Many companies have incurred PR damage due to unethical or biased applications, often unintentionally. Hence, when implementing AI in your business, it is key to first understand the impact unethical models can have on your customers, your employees or your company’s PR image. Furthermore, we all want to do good in this world, so we also have an intrinsic incentive to ensure we apply AI in an ethical way. After this course, you will confidently be able to identify the ethical risk of AI within your job and business as a whole and be equipped with the tools to avoid these risks in the development of models.



Who should attend?


This course is perfect for AI Practitioners, Data Scientists, and Business Leaders looking to sharpen their vision on ethical AI within their business. Although we will be working with AI from a data science or data engineering perspective, this course applies perfectly to non-technical groups with no previous skills.



What will you learn?


  1. An introduction to ethics in AI
  2. Real-life examples of consequences from unethical AI
  3. Risks and responsibilities of data collection, model creation, and model application
  4. Proactive methods to check and avoid bias
  5. Strengths and weaknesses of existing ethical guidelines from the EU and Google



Learning Goals


  • Overview of ethics in modeling – Understand and explain the importance of ethics in AI
  • Dealing with bias – Distinguish between ethics and bias. Know how to check and correct bias in AI applications
  • Guidelines for ethical AI – Identify how businesses can apply AI in an ethical way


Theory and practical use


All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.





    • Machine Learning
    • Statistics
    • Ethics
    • Ethical AI
Interested in taking the course?

Open Course Schedule


MIacademy does offer part of its portfolio in an Open Course Schedule Format in our location in the center of Amsterdam. Via the form below you can register your interest to participate. Our team will contact you to finalize the booking and answer any questions you may have.

All of our courses are delivered by our expert trainers.


If no dates are mentioned. The specific course is not scheduled yet in 2020. If this is the case you can use the form to register your interest. In case there is enough demand MIacademy can schedule additional courses and will notify you.

Dates & Availability


In-company Training Programs

Are you are interested to train a larger group of people, looking for specific training pe or and/or interested in creating a company-wide program? We will be happy to assist!

Whether you have a very specific training need (for example: training your Data Engineers on advanced technical topics, or your Data Scientists on model implementation), or the need for a large transformational program, or something in between, we can help. Over the past 13 years, we have built up extensive experience not only in the implementation of multi-year, multi-population, multi-country programs but also in providing high quality, very specific modules for specific target groups. Both in in-house set-ups and cross-company programs. Not sure what type of program would fit your organization best? We’d be happy to discuss the best approach together.