Data & Data Culture
Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay
On this Me, Myself, and AI podcast episode, the nonprofit’s CEO argues for more transparency when companies err with AI.
Human-Machine Collaboration
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AI & Machine Learning
Does GenAI Impose a Creativity Tax?
Relying on generative AI tools to boost human efficiency can lead to more homogenous, less-original work outputs.
Technology Innovation Strategy
How Human-Informed AI Leads to More Accurate Digital Twins
Organizations can develop effective digital twins despite limited training data by combining AI and human knowledge.
AI & Machine Learning
Three Things to Know About Prompting LLMs
Apply these techniques when crafting prompts for large language models to elicit more relevant responses.
AI & Machine Learning
Nudge Users to Catch Generative AI Errors
Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.
Customers
Fashioning the Perfect Fit With AI: Stitch Fix’s Jeff Cooper
On the Me, Myself, and AI podcast, Stitch Fix’s Jeff Cooper explains how generative AI enables employees to gain more efficiencies while still connecting with customers.
AI & Machine Learning
The Working Limitations of Large Language Models
Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.
New Product Development
The Social Science of AI: Intel’s Elizabeth Anne Watkins
On the Me, Myself, and AI podcast, learn how social scientists help facilitate human-machine collaboration at Intel.
AI & Machine Learning
Smart Product Breakthroughs Depend on Customer Control
Consumer fears of losing autonomy hinder smart-product adoption and use. But there are ways to boost customer control.
AI & Machine Learning
How to Succeed With AI Augmentation
To succeed with AI, design applications and workflows that tap the best of what people and machines have to offer.
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