Transparency, fairness and cybersecurity form the backbone of responsible AI, each essential to building trust and enabling ...
Researchers from the Data Science and Artificial Intelligence Institute (DATAI) of the University of Navarra (Spain) have ...
AI systems can be designed to be more impartial than humans in specific domains by consistently applying well-defined fairness criteria,” believes Masood. He says the key to reducing bias lies ...
We will not be able to ignore the range of ethical risks posed by issues of privacy, transparency, safety, control, and bias. Examples include: Considering the advances already made in AI—and ...
LinkedIn wants to address bias in large-scale AI apps. The company introduced the LinkedIn Fairness Toolkit (LiFT ... this test and with the CustomMetric class, users can define their own User ...