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Ethically Automating Legal Practice
Can AI automate legal practice?
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Tanishq Sandhu
- Jun 29, 2021
- 7 min
The Increasing Gap between AI Innovation and AI Ethics: Facial Recognition
Mapping out the facial recognition landscape
Tanishq Sandhu
- Mar 30, 2021
- 4 min
StereoSet: Combatting Inherently Biased Linguistic Models
Exploring a dataset that measures bias in AI language models
Arjun Subramanian
- Jan 8, 2021
- 11 min
The Future of Commercial Deep Learning
How do we balance its benefits and integrity going forward?
Pradyumna Shome
- Sep 20, 2020
- 5 min
Adversarial Machine Learning: An Overview
Explaining the latest and greatest ways people have been fooling your neighborhood neural networks
Catherine Yeo
- Aug 13, 2020
- 5 min
Explaining Machine Learning Predictions & Building Trust with LIME
A technique to explain how black-box machine learning classifiers make predictions
Catherine Yeo
- Jul 2, 2020
- 3 min
We Need to Change How Image Datasets are Curated
Why many gold-standard computer vision datasets, such as ImageNet, are flawed ImageNet Even though it was created in 2009, ImageNet is...
Catherine Yeo
- Jun 18, 2020
- 3 min
New Way to Measure Crowdsourcing Bias in Machine Learning
An overview of how to use counterfactual fairness to quantify the social bias of crowd workers
Catherine Yeo
- Jun 10, 2020
- 3 min
How Biased is GPT-3?
The world’s newest language model reflects societal biases in gender, race, and religion
Catherine Yeo
- May 20, 2020
- 2 min
What is Transparency in AI?
What does it mean for a machine learning algorithm to be “transparent”?
Catherine Yeo
- May 13, 2020
- 3 min
NLP Bias Against People with Disabilities
An overview of how biases against mentions of disabilities are embedded in natural language processing tasks and models
Catherine Yeo
- May 5, 2020
- 2 min
Fair Bytes: A Deeper Lens into Fairness in AI
Understanding algorithmic fairness and ethics is more imperative than ever
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