Category: Diversity, Equity & Inclusion
-
Australia’s Artificial Intelligence Ethics Framework
Accountability, Australia, Contestability, Environmental Wellbeing, Ethical Framework, Explainability, Fairness, Human Wellbeing, Privacy Protection, Reliability, Security, Societal Wellbeing, TransparencyAuthor: N/A; Publisher: Australian Government; Publication Year: 2022. The following guidelines provided by the Australian Government has a list of 8 items that make up their data ethics framework. These include: 1). Human, societal and…
-
Data Ethics and the Impact on Customer Service
Customer Trust, Data Breach, Data Protection, Data Stewardship, Data Transparency, Reputation, ThalesAuthor: N/A; Publisher: Telus International; Publication Year: 2019. The following article talks about a digital security software company Thales, which says, the majority of consumers say companies are responsible for protecting them from data breaches,…
-
Best Practices for Avoiding AI Biases in Data and Why It’s Important
Author: Sunil Yadav; Publisher: Baseline; Publication Year: 2022. The following article discusses how technology is created by humans and often reflects human biases. It is important to prioritize having unbiased artificial intelligence (AI) algorithms and…
-
AI Ethics: Two Major Concerns it Addresses and Should it Become a Core Element in Data Science?
Author: Stylianos Kampakis; Publisher: The Data Scientist; Publication Year: N/A. The following article features Dr. Kampakis, a data scientist for 10 years, who addresses 2 major concerns with artificial intelligence (AI) ethics and provides 3…