Cleo Academy

🔑 Introduction

1️⃣ Part 1 - AI and the illusion of neutrality 🤖

2️⃣ Part 2 - When AI goes wrong: Real-world consequences of AI bias 🌍

3️⃣ Part 3 - The business case for bias mitigation and fair AI adoption 💻

🧩 Conclusion: Chapter highlights

🧐 Quiz - Introduction to algorithmic bias

🔍 Case Study: MIT – Gender shades project (Joy Buolamwini)

🚀 Go Further

🎥 Introduction to algorithmic bias

🔑 Introduction

1️⃣ Part 1 - Statistical and Computational bias 📊

2️⃣ Part 2 - Human and cognitive bias 🧠

3️⃣ Part 3 - Systemic bias 💻

🧩 Conclusion: Chapter highlights

🚀 Go Further

🧐 Quiz - Let’s talk about AI bias!

🔍 Case Study: Humans are biased, Generative AI is even worse - Bloomberg

🎥 Reflecting on the case study

🔑 Introduction

🎥 Why and how bias enters AI systems?

1️⃣ Part 1 - Bias in datasets 📊

2️⃣ Part 2 - Beyond biased data: bias in the algorithm and model training 🤖

3️⃣ Part 3 - Bias in the use of AI-systems 📡

🧩 Conclusion: Chapter highlights

🚀 Go Further

🧐 Quiz -Why and how bias enters AI systems?

🔍 Case Study - How to critically evaluate your AI generated content to ensure diversity equity and inclusion.

🔑 Introduction

1️⃣ Part 1 - Addressing AI bias at the team level 👫

2️⃣ Part 2 - Addressing AI bias at the AI-model level 🤖

3️⃣ Part 3 - Addressing AI bias at the corporate leadership and governance level 🌍

🧩 Conclusion: Chapter highlights

🚀 Go Further

🧐 Quiz - Mitigating AI bias through equitable and responsible approaches

🔍 Case Study: Adobe’s strategy to reduce biased and harmful outcomes in Firefly Generative AI Models

🎥 Diversity and Inclusion in AI: A necessary step to Mitigating Bias

🌟 Congratulations on completing the Adressing Bias in AI course with Cleo Academy! 🌟