AEQUITAS Educational Video Series: Making AI Accessible for All
- WAI CONTENT TEAM
- 2d
- 4 min read
At Women in AI, we are proud partners in the AEQUITAS EU project, which is committed to making AI fair, accountable, and trustworthy. As part of this mission, AEQUITAS has launched a new educational tutorial video series designed to make artificial intelligence more accessible, transparent, and understandable to everyone, not just technical experts.
Each week, a new episode will be released, covering a different aspect of AI through a human-centred and fairness-driven perspective. We will be updating this blog post weekly with the latest videos.
🎥VIDEO 9: AI for Everyone by Joshua Cho
This education tutorial by Joshua Cho explains how AI is not only for experts, and it’s transforming every aspect of our lives and businesses:
Here’s a simple breakdown:
What is AI? — Machine learning to perform tasks intelligently.
How AI Works — Algorithms, data, and models simplified.
Everyday Applications — From recommendation engines to virtual assistants.
Responsible MLOps & Model Ops — Building AI that’s ethical and reliable.
Opportunities & Benefits — Efficiency, innovation, and smarter decisions.
Risks & Ethics — Bias, privacy, and responsible AI practices.
The Future & You — How AI can empower your personal and professional life.
🎥VIDEO 8: Decarbonizing Marketing by Mohammed Shafeeq
The next education tutorial by Mohammed Shafeeq shows some suggestions on how we can make marketing more sustainable:
Switch to recyclable materials — cut billboard emissions by 70%.
Use HD over 4K content — reduce digital campaign emissions by 75%.
Skip red meat and choose local produce at events — halve food-related emissions.
Encourage LEED-certified hotels for business travel.
Promote low-carbon lifestyles through campaigns.
🎥VIDEO 7: Responsible AI for Business by Angela Kim
In this video by Angela Kim, you will explore why Responsible AI isn’t optional anymore — it’s a strategic advantage.
Start with trustworthy systems — transparent, explainable, and fair.
Establish a governance framework in place — clear accountability for how AI decisions are made.
Address biases in your data and algorithms — early and often.
Build Responsible MLOps pipelines — ensuring continuous monitoring and compliance.
And most importantly — embed Responsible AI into your business strategy, not just your technology stack.
💡 Responsible AI for Business by Angela Kim
AI is transforming how we work, innovate, and compete — but here’s the truth: without responsibility, AI can harm more than it helps.
That’s why Responsible AI isn’t optional anymore — it’s a strategic advantage.
🔍 Start with trustworthy systems — transparent, explainable, and fair. 🏛️ Put a governance framework in place — clear accountability for how AI decisions are made. ⚖️ Address biases in your data and algorithms — early and often. ⚙️ Build Responsible MLOps pipelines — ensuring continuous monitoring and compliance. 📈 And most importantly — embed Responsible AI into your business strategy, not just your technology stack.
The future belongs to companies that do AI right.
Would you say your organisation has a Responsible AI framework in place yet?
🎥VIDEO 6: AI Made Easy – AI for Sustainability by Michael Yin
In this video by Michael Yin, you will explore how sustainability and AI go hand in hand, and learning how to combine them is key for businesses and society alike.
How AI can optimize energy use, reduce waste, and lower emissions;
Using AI for data-driven sustainability decisions across industries.
Real-world examples where AI accelerates the journey toward a greener future.
🎥VIDEO 5: AI Made Easy – Generative AI in healthcare by Dr Zainab Yousuf
In this video by Dr. Zainab Yousuf, you will explore how Generative AI is revolutionizing healthcare — from streamlining diagnostics to personalizing treatment plans.
How generative AI can assist doctors and researchers.
Ensuring ethical and responsible AI in sensitive healthcare settings.
Real-world applications improve patient care and outcomes.
🎥VIDEO 4: The HEAL Framework for Responsible & Agentic Healthcare by Marina Yusoff
In this video by Marina Ysuoff, you will explore how to use AI responsibly in healthcare:
The HEAL Framework - a practical guide to agentic, human-centered AI
Real world examples of AI + medicine, and how to keep patients empowered, not passive
Ethical guardrails, risk management, and trust built in
🎥 Video 3: AI Ethics | Importance and breakthroughs by Jose Meza
In this video, "AI Ethics: Importance and Breakthroughs," Jose Meza offers essential insights into:
AI Ethics Definitions
AI Breakthroughs > laws and regulations
Generative AI
🎥 Video 2: Generative Artificial Intelligence in Education by Dr Mu Li
Generative AI is reshaping classrooms worldwide — bringing both opportunities and challenges.
In this second episode, Dr Mu Li explores how generative AI can support teachers, students, and administrators while also addressing critical issues such as plagiarism, bias, and digital divides.
🔎 In this video, you will learn about:
The role of AI in reshaping classrooms worldwide
Opportunities for teachers, students, and administrators
Challenges like plagiarism, bias, and digital divides
🎥 Video 1: AI Made Easy – A Human-Centric Perspective by Angelica Chowdhury
Artificial Intelligence can feel intimidating, but it doesn’t have to be. With the right tools and framing, anyone can build a strong foundation in AI, even without a technical background.
In the first episode of the series, Angelica Chowdhury introduces core AI concepts through the lens of fairness and inclusion, helping all stakeholders better understand the technology shaping our lives.
🔎 Why this matters
Helps non-experts and newcomers feel more confident with AI
Draws on AEQUITAS’ sociotechnical, human-centred approach
Establishes a common ground for future discussions on fairness
Reinforces the project’s commitment to education and transparency
We’ll continue updating this blog post each week with new episodes from the AEQUITAS series. Stay tuned!
Learn more about the project: www.aequitas-project.eu
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Culture Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
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