Posts tagged as “artificial intelligence”

Learning with virtual humans: Introduction to the special issue

March 28, 2021

Noah L. Schroeder & Scotty D. Craig, Journal of Research on Technology in Education |

Virtual humans are embodied agents with a human-like appearance. In educational contexts, virtual humans are often designed to help people learn. In this special issue, we see six representations of this field from different perspectives, including system analysis and evaluation, value-added studies, and reviews of the literature.

Coded Bias

March 28, 2021

Shalini Kantayya, Independent Lens (PBS)

In an increasingly data-driven, automated world, the question of how to protect individuals’ civil liberties in the face of artificial intelligence looms larger by the day.

Coded Bias follows M.I.T. Media Lab computer scientist Joy Buolamwini, along with data scientists, mathematicians, and watchdog groups from all over the world, as they fight to expose the discrimination within algorithms now prevalent across all spheres of daily life.

Jumbled-up sentences show that AIs still don’t really understand language

January 17, 2021

Will Douglas Heaven, MIT Technology Review |

Many AIs that appear to understand language and that score better than humans on a common set of comprehension tasks don’t notice when the words in a sentence are jumbled up, which shows that they don’t really understand language at all. The problem lies in the way natural-language processing (NLP) systems are trained; it also points to a way to make them better.

Opinion: How To Teach Artificial Intelligence

February 12, 2020

Tom Vander Ark writes about the future of learning, work, and human development for Forbes.

It’s a good time to consider what young people need to know about AI and information technology. First, everyone needs to be able to recognize AI and its influence on people and systems, and be proactive as a user and citizen.

China’s Efforts to Lead the Way in AI Start in Its Classrooms

October 27, 2019

via The Wall Street Journal |

The increasingly aggressive and sometimes intrusive use of high-end technology in education is pivotal to Beijing’s goal to make the AI industry a fresh driver of economic expansion. Virtually unobstructed access to a potential sample pool of around 200 million students allows Chinese scientists and researchers to amass an unrivaled database, which is indispensable to develop advanced algorithms.