Kaggle Mini Courses - Intro to AI Ethics
Event page: https://www.meetup.com/Deep-Learning-...
Join us for our last Kaggle course adventure on our journey to deep learning and data science in general 🎉
https://www.kaggle.com/learn/overview
In this session we will cover the brand new course from Kaggle on AI Ethics. We will explore practical tools to guide the moral design of AI systems.
Agenda:
Introductions and get to know our community
Deep Learning Adventures - Coding Presentation:
We will be following the course material and exercises at:
https://www.kaggle.com/learn/intro-to...
1 Introduction to AI Ethics
Learn what to expect from the course.
2 Human-Centered Design for AI
Design systems that serve people’s needs. Navigate issues in several real-world scenarios.
3 Identifying Bias in AI
Bias can creep in at any stage in the pipeline. Investigate a simple model that identifies toxic text.
4 AI Fairness
Learn about four different types of fairness. Assess a toy model trained to judge credit card applications.
5 Model Cards
Increase transparency by communicating key information about machine learning models.
Join us on Slack:
https://join.slack.com/t/deeplearning...
Deep Learning YouTube playlists, feel free to share and subscribe 😀
Our Kaggle Mini Course sessions are available at
http://bit.ly/dla-kaggle-courses
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Useful Links:
Intro to AI Ethics
https://www.kaggle.com/learn/intro-to...
Enabling developers and organizations to use differential privacy
https://developers.googleblog.com/201...
Federated Learning: Collaborative Machine Learning without Centralized Training Data
https://ai.googleblog.com/2017/04/fed...
MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
• MIT 6.S093: Introduction to Human-Centered...
People + AI Guidebook
https://pair.withgoogle.com/guidebook/
Research Guiding Human-Centered AI
https://hai.stanford.edu/research
A Framework for Understanding Unintended Consequences of Machine Learning
https://arxiv.org/pdf/1901.10002.pdf
Gender Shades
http://gendershades.org/overview.html
AI is sending people to jail—and getting it wrong
https://www.technologyreview.com/2019...
Judicial gatekeeping on scientific validity with risk assessment tools
https://onlinelibrary.wiley.com/doi/f...
AIMI Symposium 2020 - Session 5: Fairness in Clinical Machine Learning
• AIMI Symposium 2020 - Session 5: Fairness ...
The Toxicity Issue
https://jigsaw.google.com/
Saying goodbye to Civil Comments
/ saying-goodbye-to-civil-comments
Introducing the Inclusive Images Competition
https://ai.googleblog.com/2018/09/int...
Inclusive Images Challenge
https://www.kaggle.com/c/inclusive-im...
On Formalizing Fairness in Prediction with Machine Learning
https://arxiv.org/pdf/1710.03184.pdf
Sensitivity and specificity
https://en.wikipedia.org/wiki/Sensiti...
The Impossibility Theorem of Machine Fairness -- A Causal Perspective
https://arxiv.org/abs/2007.06024
Attacking discrimination with smarter machine learning
http://research.google.com/bigpicture...
Equality of Opportunity in Machine Learning
https://ai.googleblog.com/2016/10/equ...
A Walkthrough with UCI Census Data
https://pair-code.github.io/what-if-t...
Gini impurity
https://en.wikipedia.org/wiki/Decisio...
What If Tool
https://pair-code.github.io/what-if-t...
Partnership on AI Research, Publications & Initatives
https://www.partnershiponai.org/resea...
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
https://facctconference.org/
Model Cards for Model Reporting
https://arxiv.org/pdf/1810.03993.pdf
Model Cards for AI Model Transparency
https://blog.einstein.ai/model-cards-...
GPT-3 Model Card
https://github.com/openai/gpt-3/blob/...
Face Detection Model Card
https://modelcards.withgoogle.com/fac...
AI FactSheets 360
https://aifs360.mybluemix.net/