Turning passions into projects is difficult. Could AI tools provide students with the interruption, suspension, and sustenance they need to want to stay with the difficulty?
By Gati Aher, October 2024
AIstory-bot, a text-based chatbot designed to teach students about artificial intelligence (AI), guides students through creative writing activities that provide an inquiry-based, interactive storytelling experience to enhance young learners' engagement, motivation, and efficacy toward AI.
By Ariel Han, Shenshen Han, October 2024
University students face numerous challenges in maintaining their psychological wellbeing. How can we leverage emerging AI tools and algorithms to help them navigate these challenges?
By Ananya Bhattacharjee, October 2024
Discover how the convergence of machine learning and generative AI is revolutionizing online tutoring, enabling systems that evolve to become better teachers--continuously refining their instructional methods based on student data and feedback.
By Robin Schmucker, October 2024
Large language models like ChatGPT are disrupting many industries, including computing education. How should policy evolve to improve learning outcomes?
By Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo, Ted Underwood, Ece Gumusel, Mengyi Wei, Abhinav Choudhry, Jinjun Xiong, October 2024
It's not just about LLMs, it's about us too.
By Aadarsh Padiyath, October 2024
In this interview, Joy He-Yueya discusses her work on using GPTs to evaluate the quality of instructional materials, how GPTs compare to human evaluators, and the implications of using these models.
By Bingbin Liu, Joy He-Yueya, October 2024
By Ellie Seehorn, Jaylin Herskovitz, October 2024
AI ethics is experiencing two crises: It is disconnected from communities being impacted by AI and largely funded by and dependent on tech companies profiting from harms. Drawing on anarchist ideas, AI ethicists have recently started building tools to challenge this status quo. What else can AI ethics learn from anarchism?
By William Agnew, June 2024
By Aarti Darji, June 2024
By Zhongxuan He, February 2024
Insights from the field of human factors can help us design human-centered explanations that enable effective human-robot interaction. Studying explanation techniques according to these human factors will be critical in understanding their efficacy across diverse contexts.
By Lindsay Sanneman, October 2023
By Jiayi Li, June 2023
By Fabien Scalzo, June 2023
How I came to love design and used AI to alleviate the most frustrating parts of the process.
By Lydia Chilton, June 2023
By Jeenisha Shrungare, June 2023
By Amy Adair, April 2023
How analytics is transforming the future for millions of learners.
By Ryan S. Baker, April 2023
Four "who-ristic" questions to ask yourself when designing artificially intelligent educational technologies that will actually benefit people.
By Rod D. Roscoe, April 2023
This article is an example of how theoretical frameworks about how people learn science were used in combination with computational techniques to develop authentic assessments and intelligent tutoring for science.
By Janice D. Gobert, April 2023
Queer in AI is an organization that aims to combat the harms faced by queer researchers within AI. Several inclusion initiatives are outlined, including those centered on policy and financial aid.
By Hetvi Jethwani, Arjun Subramonian, William Agnew, MaryLena Bleile, Sarthak Arora, Maria Ryskina, Jeffrey Xiong, July 2022
In order for robots to become integrated into society, we need to be able to prove that robots do their jobs reliably. Robot benchmarking competitions in smart cities offer a glimpse into our future.
By Matthew Studley, Valentina Presutti, Daniele Nardi, Sarah Carter, April 2022
With the onset of the COVID-19 pandemic in the United States, "essential work" became a calling card for the labor that kept the country running. But the activity of essential workers often occurs out of sight. For example, the products of waste workers are everywhere---clean floors, sanitized tables, objects made from recycled plastics---though workers themselves are often behind the scenes.
By Franchesca Spektor, Estefania Rodriguez, Samantha Shorey, Sarah Fox, January 2022
How might computing support us in becoming our better, more emotionally resilient selves? We explore this in an interview with the team from Microsoft Research's Human Understanding and Empathy group.
By Xuhai Xu, Karan Ahuja, Jasmine Lu, Mary Czerwinski, Jina Suh, Gonzalo Ramos, September 2021
Climate change poses a major threat to society, requiring rapid action from all corners. Machine learning can be a potentially useful tool for addressing climate change, when applied in coordination with policy, engineering, and other areas of action.
By Priya Donti, December 2020
Using artificial intelligence, and an oft-ignored modality, an Indian startup develops an affordable, accessible, and non-invasive breast cancer screening solution.
By Siva Teja Kakileti, Himanshu Madhu, Thara Subramoni, Geetha Manjunath, April 2020
The ethics of artificial intelligence in Africa should come from the social contract theories and ethical frameworks developed by African philosophers. But if AI researchers fail to incorporate cultural differences, they risk perpetuating the same injustices witnessed during colonial times.
By Ezinne Nwankwo, Belona Sonna, November 2019
As Africa embraces and interacts with AI, what policies are relevant to foster its development? This article highlights some domains where AI is being applied and will be beneficial given Africa's unique context and culture.
By Micheal Nayebare, November 2019
By Christine T. Wolf, Ezinne Nwankwo, April 2019
By Shekhar Patankar, April 2019
How good are you at explaining your decisions? Are you better than a machine? Today, AI systems are being asked to explain their decisions. This article explores the challenges in solving this problem and approaches researchers are pursuing.
By Michael Hind, April 2019
Opaque algorithms get to score and choose in many areas using their own inscrutable logic. To whom are said algorithms held accountable? And what is being done to ensure explainability of these algorithms?
By Tim Miller, April 2019
What sociology and ethnography can teach us about designing the workplace technologies of tomorrow.
By Christine T. Wolf, April 2019
Advanced robotics and artificial intelligence systems present a new challenge to human identity.
By Joanna J. Bryson, April 2019
Every year, the ACM Special Interest Group on Artificial Intelligence sponsors a student essay writing contest. This article presents a clear perspective on last year's winners, which represent a diverse collection of opinions on artificial intelligence.
By Johanna Schacht, January 2019
What do architecture and AI have to do with each other? Quite a bit, it turns out, and it is a history that goes back to the origins of AI.
By Molly Wright Steenson, April 2018
With the growing popularity of streaming services, artificial intelligence-generated systems, and open art content, the music industry is facing a complex set of challenges.
By Jarno Eerola, April 2018
Are you ready to meet your new teammates?
By Ece Kamar, December 2016
Skill ladders may help crowd workers to "skill up" as they work. But what other technical innovations will lead to better opportunities for crowd work?
By Jeff Bigham, Kristin Williams, December 2016
By Teodoro Montanaro, December 2015
How can people and AI equally participate in creating something? How do they do it when they cannot edit or revise their work?
By Brian O'Neill, June 2013
By Mohammad Arif, June 2013
