From the course: Ethics and Law in Data Analytics

Welcome

- Hi, I'm Ben Olsen, Content Developer at Microsoft, and welcome to Ethics and Law in Analytics and Artificial Intelligence. This course is meant to give you the foundations you need in both ethics and law as it relates to the data space, to not only do your job well, that's a given, but to take it to the next level in terms of making the impact that you want in the world and society at large. Whether you're in non-profit or for-profit, all the principles that we're going to apply to actual data work in this course will come to bear. And with me to teach this course is Eva Lasprogata, and Nathan Colaner, and I'd love to have you two introduce yourselves and tell the audience why you care about this course. - Thank you, Ben. - [Ben] Thank you. - I'm a law professor at Seattle University, I teach business law and data analytics and law. I'm also a partner in a firm called Digital Dignity. I've been investigating, thinking about, and writing about that intersection of human rights, entrepreneurship and technology for many years, and I'm really excited to explore that in this course, and share with the audience what law does apply to big data, and where there is not enough law, or there's no law, what are we going to do about it in considering the ethical frameworks that we might explore with Nathan as well. - [Ben] Great, thank you. - And I'm Nathan, I'm also a professor at Seattle University teaching business ethics, and along with Eva, I'm co-founder of the consulting firm Digital Dignity, and this is a really important course for me. We understand principles of law and principles of ethics, we have them pretty well worked out, but there are some conversations that we need to have as we enter into this new space of data. - [Ben] Thanks so much. And thank you for joining us, and we look forward to working with you through this course. Let's dive right in.

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