AI-led or AI-assisted? AI in education is already here, but its future is still being decided. Who’s leading the space? How are they approaching AI-powered EdTech? And what does AI ethics mean in the context of education?
Bias in AI and Machine Learning: Sources and Solutions
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11 m
Bias in AI causes machine learning-based systems to discriminate against particular groups. We investigated why AI bias occurs, and how to fight back.
Machine Learning Micromodels: More Data is Not Always Better
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6 m
Machine learning micromodels reduce the challenges of sourcing and annotating data while delivering better precision and accuracy than macromodels.
Stories of AI Failure and How to Avoid Similar AI Fails in 2019
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9 m
Starting a new AI project in 2019? This article has the info you need to avoid an embarrassing AI failure: stories of big AI fails, expert advice, and more.
Let’s Talk AI Cooperation (Don’t Call it an “Arms Race”)
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6 m
Advances in artificial intelligence are usually framed as an arms race. Instead, let’s look at AI research through the sunnier lens of cooperation.
Machine Learning for Natural Language Processing
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14 m
Paul Barba explains the role of machine learning and AI in natural language processing, how to apply machine learning to solve problems in natural language processing and text analytics, and why a hybrid ML-NLP approach is best.
AI in Healthcare: Data Privacy and Ethics Concerns
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8 m
Advances in artificial intelligence have rendered HIPAA obsolete. And as AI in healthcare becomes commonplace, privacy and ethics experts are raising flags.
Are We in an AI Hype Bubble? Not Necessarily
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4 m
It could be 20 or 30 years before AI matches humans, researchers now say. But VC firms are still investing billions. Are we in an AI hype bubble?
AI Won’t Solve Fake News (Not Today, Anyway)
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4 m
Why is AI so bad at fighting fake news? Learn why AI won’t solve fake news, and why the problem is only getting worse with AI-generated fake videos.
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