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 ...

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 ...

Basic security measures like encryption and robust data ... Clear support from top executives shows that ethical data practices are central to your company’s vision. Continuous Monitoring ...

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 ...

AI is a powerful tool—one requiring strong guardrails to ensure responsible use. CISOs play a key role in making this happen.

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 ...