In this video I look at ethical practices from the perspective of ourselves, as opposed to regulations, frameworks or culture. In this the first two two videos addressing this subject (and the penultimate video of the course) I talk about where our ethical practices originate and how we should regard them.

We continue our look at agency, considering whether agency could be evolved, and through that the question of whether ethics could be thought of as the result of evolution. The cultural evolution thesis is rejected, but cultural practices promoting agency are described.

In this video we look at the concept of agency, what we mean by it, and outline several conceptions with an eye to understanding the relation between ethics and agency in learning analytics. Part of the online course Ethics, Analytics and the Duty of Care https://ethics.mooc.ca

We begin this discussion of democracy by considering the question of corporate citizenship and corporate social responsibility. We then turn to the question of what these were look like if organized democratically, considering topics such as participatory design. But what is needed to create such a society?

What does it mean to be a 'good' member of a culture? This is usually defined under the heading of 'citizenship'. We explore this concept in this video: what is a good citizen, how do we teach citizenship, how does that feed in turn into our concept of a culture?

How do we make the leap from ethical practices in theory to practices. What is culture, how does it relate to the common good, how do we teach culture, what are cultures of learning, organizational cultures, an how do these relate to ethics?

This short video introduces the discussion in the next three videos by considering how ethics and culture intersect, how change develops in cultures, and how design plays a role in ethics.

How do we make the leap from ethical practices in theory to practices. This video looks at four approaches as representative of the various ways the topic could be considered: incentivizing, translation, mobilization, and connective action.

This video looks at IT governance frameworks, with a number of specific examples, and discussion of the role ethics plays in those frameworks, and also at the role of human rights frameworks informing ethical practices.

This video looks at governance frameworks generally and data governance in detail, considering core elements of data governance and aspects relevant to ethical practices in analytics.

This video looks at basic management frameworks for ethics and offers some criticisms.

Almost done. After today we have two topics remaining in the final module: Practices and Culture, and An Ethics of Harmony. This is definitely the last week this newsletter will publish.

We introduce the motivation for emphasizing practices rather than regulation, then look at some basic models of ethical practices, and highlight some features of frameworks and process.

This is a brisk overview of the motivations for regulation of AI and analytics and some of the approaches globally to doing so. We then discuss a few issues related to regulation of AI.

We introduce Module 8 by discussing what we have already done in the course and by setting the stage to walk down the staircase from regulation to an ethics of harmony.

This is the final video from Module 7 and considers how our use of AI has an impact on the ethics of AI and the development of ethical AI and analytics.

Module 8, the last module, starts tomorrow. The course will be done before the holidays! We'll have our final course-ending online bash at 12:00 noon eastern time December 20 - everyone welcome, even if you've been a lurker throughout. Join us here.

Most discussions of ethics and analytics eventually turn to the idea that automated decisions should be explainable. In this video I outline the reasoning for this, some approaches to explainable AI, and what it means in a wider context.

In this video I discuss the evaluation of AI and analytics, not from the perspective of whether it works, but from the perspective of assessing it's wider impact on society. I outline some aspects of evaluatuon and then reflect on some factors relevant to how we structure and conduct our assessment.

After the development and implementation of AI models, analytics solutions need to be tested and validated. This presentation discusses that process, along with the application of analytics applications in target domains.

We explore the idea that ethics is culturally determine, and trace the implications of that for individuals, for different societies around the world, and for an overall approach to ethics and AI.

In this video we look at some of the questions and issues around the use and interpretation of AI-generated models.