October 15, 2022If you think data ethics doesn’t apply to your organization, you’re probably wrong. Now more than ever, every company is a data company, say expert associate partner Liz Grennan, senior partner Kayvaun Rowshankish, and co-authors in a recent article. By 2025, individuals and companies around the world will produce an estimated 463 exabytes of data each day—a decade ago, they produced less than three. How should companies begin to think about ethical data management? And what measures can they put in place to ensure that they are using data appropriately across the value chain? Dive into these insights to explore the most common data management traps—and don’t risk losing your customers’ trust and destroying value. Data ethics: What it means and what it takes Why digital trust truly matters Localization of data privacy regulations creates competitive opportunities Getting to know—and manage—your biggest AI risks What the draft European Union AI regulations mean for business Tech talent tectonics: Ten new realities for finding, keeping, and developing talent Author Talks: Think digital The state of AI in 2021 Derisking AI by design: How to build risk management into AI development In the balance From Principles to Practice: Putting AI Ethics into Action Innovate | Legal: Tech Trust Teams