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Ethics and Social Issues

Best Permission Practices Sought for Data Collection in AI Research

By John P. Desmond, AI Trends Editor AI researchers in healthcare are refining ways to ensure data they work with has been obtained with proper...

White House Releases 10 AI Principles for Agencies to Follow

By AI Trends Staff The White House’s Office of Science and Technology Policy (OSTP)  this week released what it has described as a “first of...

People-Centered Design For Deep Learning

In an MIT Sloan Management Review article published last week, David A. Bray and Ray Wang outline the challenges ahead for incorporating people-centered design...

Update on AI for Good: Making Business Sense, and a Cautionary Note

By AI Trends Staff AI for Good is a United Nations platform that fosters a dialogue on the beneficial use of AI by developing concrete...

Data Privacy Clashing with Demand for Data to Power AI Applications

By AI Trends Staff Your data has value, but unlocking it for your own benefit is challenging. Understanding how valuable data are collected and approved...

Get Paid for Your Data, Reap the Data Dividend

By AI Trends Staff AI algorithms typically required thousands or millions of data points to work effectively, increasing the value of data. But thanks to...

Ma vs Musk on AI: The Optimistic Versus the Dystopian Viewpoint

By AI Trends Staff When you get Jack Ma and Elon Musk on the same stage debating the impact of AI, you get a study...

YouTube Using AI to Help Remove Video Deemed Offensive; Meanwhile Recommendation Engine is Challenged

By AI Trends Staff You Tube needs to employ AI to help process the 300 hours of video uploaded to the platform every minute by...

AI Systems Will Become Our Workmates, Workmates We Understand and Trust

Contributed Commentary by Pieter Ballon, Director of SMIT at VUB   Science fiction films featuring robots or intelligent machines in the leading roles (such as Blade Runner,...

Bias and Fairness: Striking a Balance

By AI Trends Staff AI relies on large datasets to train machine learning models, and those datasets can be highly skewed in characteristics of race,...






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