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Detect and Mitigate Ethical Risks(으)로 돌아가기

CertNexus의 Detect and Mitigate Ethical Risks 학습자 리뷰 및 피드백

4.4
별점
53개의 평가
•
9개의 리뷰

강좌 소개

Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threats to our ethical goals. We also need to know where and how to improve our ethical processes across development lifecycles. What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Throughout the course, learners will learn strategies for identifying and mitigating risks. This course is the third of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding courses are titled Promote the Ethical Use of Data-Driven Technologies and Turn Ethical Frameworks into Actionable Steps....

최상위 리뷰

필터링 기준:

Detect and Mitigate Ethical Risks의 10개 리뷰 중 1~10

교육 기관: GiangTVHE130344

•
2021년 5월 21일

I have a lot of knowledge after i learned this course. Thank teachers áng coursera very much

교육 기관: Nguyễn V Đ

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2021년 10월 8일

This course so useful for me to learning new skill about ethical AI,Engineering

교육 기관: HoanNKHE130324

•
2021년 10월 8일

good!

교육 기관: VinhNQHE141143

•
2021년 7월 13일

good

교육 기관: Dương T N

•
2021년 7월 2일

goof

교육 기관: cristhian c

•
2021년 7월 1일

good

교육 기관: Dang Q H

•
2021년 6월 28일

good

교육 기관: Le T V

•
2021년 5월 23일

Ok

교육 기관: TanDTHE130485

•
2021년 6월 26일

good

교육 기관: Fred V

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2021년 8월 22일

The first challenge in this course is to find the link, if there is any, between the title and the contents. I failed: most of the contents is more about data risk management. The next challenge is to swallow the overly mixed waffle, and the "be-good" messages about what is "important" within an axiology vacuum. Let us pass on the factual and semantic errors, and on the mispellings. The videos are obviously read from a script, and some look very much like a "welcome to jail" presentation. The contents of this course have little or nothing to do with ethics, let alone ethical risk.

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