

دوراتنا

Ethics in AI and Data Science
Learn how to build and incorporate ethical principles and frameworks in your AI and Data Science technology and business initiatives to add transparency, build trust, drive adoption, and lead with trust and responsibility.
-
Course by
-
18
-
الإنجليزية

The Ethical Leader
This aims primarily at post-baccalaureate students interested in leadership theory and ethical leadership. The first part of this course introduces students to the classical literature in philosophical ethics, including consequentialist, regularian, deontological, and virtue theory approaches. This includes exploration of the ethical responsibilities leaders have toward themselves, corporations, the government, and the public.
-
Course by
-
Self Paced
-
56 ساعات
-
الإنجليزية

Communicate Effectively about Ethical Challenges in Data-Driven Technologies
Leading a data-driven organization necessitates effective communication to create a culture of ethical practice. Communication to stakeholders will guide an organization's strategy and potentially impact the future of work for that organization or entity. It is not enough to talk about ethical practices, you need to to relate their value to stakeholders. Building out strategies that are inclusive and relatable can build public trust and loyalty, and knowing how to plan for a crisis will reduce the harm to such trust and loyalty.
-
Course by
-
Self Paced
-
14 ساعات
-
الإنجليزية

A Technical Leader's Qualities and Effectiveness
This course describes the traits of Great Leaders who combine fierce resolve with personal humility. Indeed, they might be described more as “plow horses” as opposed to “show horses”. They see themselves as servants to the team and to the organization. They “hold the line” when faced with tough decisions and “do what must be done” when the time comes.
-
Course by
-
Self Paced
-
8 ساعات
-
الإنجليزية