Spotlight on Learning from Failure: Data Ethics Is Good Business with Heather Krause
Three cases when data ethics failures cost millions
Ethical lapses aren’t just embarrassing and expensive—they can put your organization at serious risk in a number of ways and damage its reputation and bottom line. If you collect any kind of data, you’re more vulnerable to ethical errors than you may realize. From acquisition and model-building to algorithms, it’s critical to view all aspects of data science through an ethical lens and implement best practices to ensure accuracy. We need only look to some very public failures as proof.
Join us for this edition of Spotlight on Learning from Failure for a deep dive into three cases where data ethics mistakes cost companies both money and trust—and how your business can avoid their mistakes.
O’Reilly’s Spotlight Series explores emerging business and technology topics and ideas through a series of one-hour, live interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas, while hearing their unique perspectives, insights, fears, and predictions for the future.
In every edition of Spotlight on Learning from Failure, you’ll learn about, discuss, and debate the lessons learned from failures both large and small. Best of all, you’ll discover how successful companies have addressed setbacks, missteps, and challenges, and how you can grow from their examples.
What you'll learn-and how you can apply it
- The impact that data ethics mistakes can have on a company’s reputation and bottom line
- The practical steps you can take to avoid data ethics mistakes in your own organization
This training course is for you because...
- You want to understand the importance of data ethics in an organizational context
- You want to learn from other businesses that have experienced failures with data ethics
- Come with your questions for Heather Krause
- Have a pen and paper handy to capture notes, insights, and inspiration
- Ethics and Data Science (report)
- Ethics of Big Data (book)
- Chapter 16 “Next-Generation Data Scientists, Hubris, and Ethics” in Doing Data Science (book chapter)
About your instructor
Heather Krause, PStat®, specializes in complex analyses that are impactful and meaningful to broad audiences from the boardroom to the front page. She is the founder of Datassist, an innovative data science company that provides custom-tailored data product designs to harvest the power of collaborating specialists with none of the cumbersome rigidity of old-mentality businesses. Her emphasis on ethics and equity in data science have made her an industry-famous colleague, known for championing transparent language, intersectional perspectives, and strong universal narratives. Her unique contributions have been sought across a range of clients from individual researchers to large international organizations including: Government of Canada, Royal Bank, OCAD, Bill and Melinda Gates Foundation, CARE, the Syrian Refugee Resettlement Secretariat, CNBC, and MasterCard.
The timeframes are only estimates and may vary according to how the class is progressing
Tuesday, January 29, 2019 at 9:00am PT / 12:00pm ET
- Introduction/Presentation (15 minutes)
- Interactive discussion and Q&A (45 minutes)