Don’t fail prey to the AI hype machine. These high-profile stories of AI failure are alarming for consumers, embarrassing for the companies involved, and an important reality-check for us all.
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
Artificial intelligence has rendered HIPAA obsolete. As AI in healthcare becomes commonplace, data privacy, security and ethical issues are growing. We explored the uses of AI in healthcare, the ethical issues involved, and why experts are raising flags about healthcare data storage and data security practices.
Telematics in Cars and Auto Insurance: Privacy or Savings?
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9 m
Is saving money on your car insurance reason enough to trade away your privacy? We researched how automakers, insurance companies and advertisers use telematics to collect, analyze and monetize data about your driving habits, and why maybe you shouldn’t be so quick to jump on the telematics bandwagon.
How to Use AI to Solve Real Business Problems
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5 m
Instead of going for a high-risk moon-shot, here’s how to effectively integrate AI into your business to solve tangible problems. In this article, originally posted on Forbes, Lexalytics CEO Jeff Catlin keeps it clear and concise.
AI in Education: Where is It Now and What is the Future?
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13 m
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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12 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.
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.
AI Maintenance is Critical
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2 m
Getting an AI system up and running is only half the battle. In this feature on KDnuggets, Paul Barba explains why AI requires maintenance to succeed.
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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