To unlock grocery data's full potential, financial institutions must prioritize ethical considerations alongside business ...

In an age where data drives decision-making across industries, the ethical implications of advanced analytics are more significant than ever. Lokeshkumar Madabathula, a researcher in the field of data ...

The PIs will collaboratively identify where existing models are insufficient to capture the moral and ethical nuances in automated data-based decision making. They anticipate this serving as a ...

The Markkula Center for Applied Ethics hosts a list of datasets that can be used to introduce and address considerations of ethics in graduate and undergraduate machine learning and data analytics ...

It then reviews the three ethical frameworks that are most commonly applied to ethical discussions in data science and computing: Kantianism/deontology, virtue ethics, and utilitarianism. Case studies ...

Artificial intelligence has become a transformative force across industries, driving innovation, automation, and efficiency.

Join a conversation with LRN's Amy Hanan and CCI's Sarah Hadden to explore how insights-first analytics can help ...

This approach is good for business – employees and other stakeholders value companies that prioritize the kinds of practices we measure ... ethics, compliance, social, and governance data ...