Resources that discuss ideas, methods, programs, regulations, protections and case studies when collecting and utilizing data.
Author: Abhishek Kaul; Publisher: InTech Open; Publication Year: 2021. The following article discusses how consumers of a brand can have poor experiences and develop a lack of trust in the brand if virtual assistants are allowed to impersonate a human. Designers and developers of virtual assistants should be transparent in disclosing information to consumers in terms of what they can search…
Author: Abeba Dirhane; Publisher: CellPress Open Access; Publication Year: 2021. The following paper focuses on how it has become trivial to point out that algorithmic systems increasingly pervade the social sphere. Improved efficiency—the hallmark of these systems—drives their mass integration into day-to-day life. However, as a robust body of research in the area of algorithmic injustice shows…
Author: Aaina Agarwal, Patrick Hall, Sara Jordan, Brenda Leong; Publisher: Future of Privacy Forum; Publication Year: 2021. The following article focuses on looking at the ethics of AI use from a lawyer’s perspective, providing some of the potential legal issues that could arise with AI misuse. The article brings up 5 different aspects of AI to be aware of. Firstly, machine learning systems are probabilistic. No machine learning model can make…