Monday, June 24, 2019

Meet the lawyer disrupting her profession

photo of digital gavel representing use of AI in law

Maura Grossman, a Cheriton School of Computer Science Research Professor, is using AI to make legal document review more effective and efficient

She has been called the most dangerous lawyer in America for her research and advocacy on technology-assisted review (TAR).

Friday, June 21, 2019

Many open-source projects lack a clear way to report security problems

photo of Mei Nagappan

The following excerpt is from “GitHub Releases New Tools to Report Vulnerabilities,” an article by Rina Diane Caballar published on June 21, 2019 in IEEE Spectrum, the magazine and website of the Institute of Electrical and Electronics Engineers.

The article reports recent research conducted by Mei Nagappan, an assistant professor in the Cheriton School of Computer Science, and his colleagues on the lack of security vulnerability reporting processes in open-source software projects. 

Wednesday, June 19, 2019

The quest for high-quality data

photo of Ihab Ilyas and Ben Lorica

The following excerpt is from The quest for high-quality data: Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge, a blog post written by Cheriton School of Computer Science Professor Ihab Ilyas and Ben Lorica, Chief Data Scientist at OReilly Media.

Tuesday, June 11, 2019

New tool shows that goodwill may trump profit as a work motivator

photo of Keiko Katsuragawa and Ed Lank

Researchers at the Cheriton School of Computer Science have found that individuals may be more motivated to do work for their favourite charity than for money. 

In a study reviewing the efficacy of a new online work-sharing platform designed to put money into the hands of charities, the researchers discovered that people providing their skills and labour toward a specific task tended to do a better job if they knew their favourite charity rather than themselves would be paid for it.

Tuesday, May 21, 2019

Moojan Ghafurian, Neil Budnarain and Jesse Hoey make AI more human

photo of  Moojan Ghafurian

The key to people trusting and co-operating with artificially intelligent agents lies in their ability to display human-like emotions, according to a new study by Postdoctoral Fellow Moojan Ghafurian, Master’s candidate Neil Budnarain and Professor Jesse Hoey at the Cheriton School of Computer Science.

  1. 2019 (46)
    1. June (7)
    2. May (5)
    3. April (11)
    4. March (6)
    5. February (10)
    6. January (7)
  2. 2018 (82)
    1. December (6)
    2. November (8)
    3. October (8)
    4. September (12)
    5. August (4)
    6. July (8)
    7. June (8)
    8. May (5)
    9. April (10)
    10. March (6)
    11. February (2)
    12. January (5)
  3. 2017 (50)
    1. December (3)
    2. November (6)
    3. October (7)
    4. September (4)
    5. August (3)
    6. July (2)
    7. June (7)
    8. May (8)
    9. April (2)
    10. March (6)
    11. February (2)
  4. 2016 (27)
  5. 2015 (41)
  6. 2014 (32)
  7. 2013 (46)
  8. 2012 (17)
  9. 2011 (20)