Showing posts with label ethical framework. Show all posts
Showing posts with label ethical framework. Show all posts

Thursday, August 3, 2023

Is facial recognition identifying you? Are there ‘dog whistles’ in ChatGPT? Ethics in artificial intelligence gets unpacked; Northeastern Global News, August 3, 2023

 , Northeastern Global News; Is facial recognition identifying you? Are there ‘dog whistles’ in ChatGPT? Ethics in artificial intelligence gets unpacked

"The graduate-level program at Northeastern is designed to teach researchers how to examine artificial intelligence and data systems through an ethical framework. The course is conducted by the Ethics Institute, an interdisciplinary effort supported by the Office of the Provost, the College of Social Sciences and Humanities (CSSH) and the Department of Philosophy and Religion...

The aim of the course was to both provide students with some background on the technical components underpinning these systems as well as the frameworks used to adequately analyze their ethical impact. 

Throughout the seminar, students each day were tasked with providing oral arguments based on the day’s reading. Each student was also tasked with developing an original thesis around the topic of discussion and presented it the final week of class. 

One central topic of discussion was algorithmic fairness, Creel says."  

Thursday, January 5, 2017

5 ethics principles big data analysts must follow; TechRepublic, 1/2/17

Michael Kassner, TechRepublic; 5 ethics principles big data analysts must follow

"Big data is not only big—it is also powerful and error prone, notes Susan Etlinger, an industry analyst with Altimeter Group, in her 2014 TED talk. "At this point in our history... we can process exabytes of data at lightning speed, which also means we have the potential to make bad decisions far more quickly, efficiently, and with far greater impact than we did in the past."


Besides the potential for bad decisions, Etlinger believes that humans place too much faith in technology, including, for example, our blind acceptance of charts and graphs developed from big data analysis."