Current US legislation prohibits AI applications in recruiting, healthcare, and advertising from discrimination and bias. This requires organizations who deploy such systems to test and prove that their solutions are...
Builders and buyers of AI systems are required to test and show that their systems comply with legislation – on safety, discrimination, privacy, transparency, and accountability. This talk covers recent...
Side-by-side viewing and comparing different annotations made by various annotators on text documents present several challenges. Firstly, aligning the annotations for accurate comparison can be difficult, especially if the annotators...
Overall, de-identification in today’s data-driven world is a critical practice that helps balance the benefits of AI and big data with the need for privacy and compliance, facilitating both technological...
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