H. V. Jagadish
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large–scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the “right to be forgotten.” This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair. Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed. The mission of the University of Michigan is to serve the people of Michigan and the world through …
Instructor Details
Courses : 2
Specification: Data Science Ethics
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47 reviews for Data Science Ethics
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 17 hours |
| Year | 2017 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Senthanal S M –
Very informative and enough case studies to show examples. Highly recommended for data scientists.
Christopher A –
I like to think I’m an ethical person, but this course challenged me about some biases I hadn’t even considered. It’s a well presented course that won’t demand that you put hours and hours in every week.
Lukasz S –
Definitely a good choice fo the beginners in this topic. Highly recommended for the Europeans as the American regulations differ and the course covers most of them. Interesting reading materials that encourage to do research on your own.
Peter P –
The course provides a good insight into some of the issues with the ethics of data science. Perhaps there is too much focus on data validity and not enough on ethics. This course shows that there is a need for systematic ethical enquiry into this subject.
Aaron Z –
This couse presented some interesting case studies, but never presented a real ethical system. In particular, the instructor frequently equated ethical behavior with socially acceptable behavior (this activity by corporation x was unethical because it resulted in public outcry). Someone with a background in ethics really should have been consulted in course developement. On a purely practical matter, the ta did not seem to have any training in ethics at all. He just responded to every comment in the discussion area with a “what about” statement that sounded like it came straight from a late night dorm room bs session.
BHAVESH N P –
I liked this course very much and Data Science Ethics explained very nice manner. I will recommend to join this course.
Isabel H –
This is a good intro to the topic for data scientists with no prior background in ethics. As someone who has studied the philosophy of ethics (even if you’ve only taken one course in it) you’ll likely be disappointed in the limited level of depth in terms of considering ethical theories. To be fair, the instructor does state this at the beginning of the course. My other issue I had with this course is that the assessment quizzes use true or false questions which in my opinion represents a VAST simplification of the complexities of ethical questions. This kind of simplified black and white thinking is exactly what we do NOT want in the people creating and controlling our technology, so I was disappointed to see the assessment style encouraging it.
Daithi M W –
I’ve been disappointed with the course overall. it’s a very interesting topic, one that’s relevant to the times we live in. But I feel that many of the big questions are neither asked nor answered in the course. The presenter’s background is in engineering, not philosophy. This isn’t a fundamental problem in itself, but it does mean that concepts are left very vaguely defined. So ‘ethics’ is, at one point, defined more or less as ‘what’s socially agreed up’. But in the questions as well as the videos, the terminology shifts between ‘ethically right/wrong’, ‘appropriate’, ‘have to do something,’ ‘by rights’, ‘legally’, and lots more besides. So it’s far from clear what the right or wrong position might be in many of the thought experiments described in the quiz questions. What’s more, if an action isn’t in itself ethically right, that doesn’t entail that it must be ethically wrong: it could be neither. There’s virtually no input from other voices, too: no discussions with, say, experts in the field of data ethics, or moral philosophers, or whatever. At one point in week 1, the presenter correctly points out that ”data ownership is really complex”. So it’d be useful to have a MOOC that makes it less complex: that asks hard questions, and critically examines the range of possible answers. Unfortunately, this MOOC isn’t it.
PRANAV P K –
Best course for Data Science Ethics
Nicole R –
A rigorous, mind opening course on the ethical questions raised by the collection and use of data.
Sahibzada A M –
Excellent Course. Gives interesting and detailed perspectives on ethical matters related to how data can be used and should be used.
Menashe M –
Really liked the way the info was presented.
Joel D M –
This course is short, slow, and easy, but I ranked it five stars because the content is important in today’s growing reliance on data science.
Codrin K –
Good overview of topics regarding ethics in data science.
Amitkumar H B –
Very much interactive and content ful
Kim K L –
This is really a great course. It is a starting point for anyone who want to get deeper into Data Science Ethics. Even if I feel that I am fairly familiar with the topic, I learned a lot and particular the case studies were really great. It should be a must for anyone in Data Science.
Marco M –
As I expected, the course provided me a lot of food for thought. The aspect that I appreciated most was the necessity, as an Italian legal privacy counsel, to put aside my legal and GDPR background, and to think in a “more ethic manner”. This kind of approach permitted me to view the EU General Data Protection Regulation with new eyes, finding some aspects about that Regulation that I think could be improved.
Philip A –
It is quite amazing I took this course. I was able to apply it to other scenarios in my personal online life.
Okindo I –
This is a good course, it is applicable to a wide range of fields. I found it very helpful in my career. Ethics is key in ever aspect of our life. Thanks.
Greg S –
Very relevant and interesting course. I recommend it.
Hillary S –
I really enjoy ethics courses and I liked that this related to something so ingrained in our daily lives: data. I think, in general, ethics lessons are undervalued so I am glad to see this one offered. The professor was knowledgeable and did a good job. I would watch other courses with him teaching. My only criticism would be that these ethics were mostly presented from one point of view. Ethics rules can be very subjective depending on who is applying them, so I think hearing from other professors as well as the one who taught it would be good.
Vibha14 –
liked the case study at end of each topic
Reinhold L –
A good overview of privacy, ethics, informational consent etc. The numerous case studies were very informative, relevant and helpful for the daily work in Data Science.
Eise d V –
Short, but great course for beginners that gives interesting perspectives on some ethical matters in data science.
Katherine S –
Good course. Challenging and thought provoking. The professor was very good, but, even if you complete all assignments, your certification and grade depends upon having others in the course go in and review your assignment. Even if you review more than you are required to review, if others don’t review yours, you don’t pass or get your certification. So, be aware of that if you are attending a class in the hopes of obtaining a certification. It is not guaranteed even if you do all of the work.
Debra L T –
Presenter did not vary tone, was not engaging and made it very difficult to follow.
adriana s l e –
Excellent Course!
Lyn M R –
Terrific course reviewing the ethical considerations surrounding use of big data.
Dunsin F –
Taking course showed me the usually neglected ethics of Data. Simple yet very vital.
Anny Y –
Absolutely delightful to have Professor Jagadish walking us through the course. The course was informative and very stimulating. Opens up to a new world of data science ethics. Thank you!
Dmytro I –
Good introductory course into the topic. Great lecturer. Think needs more deep dive into each topic with more diverse examples.
Djoelja –
Great materials. Very original. But I think the lecturer needs to smile and put more energy in his talk. Hope you’re having a good day!
Ramkumar I –
Crisp with lot of examples
Keith C –
The course has been well developed with the learner in mind. The material was interesting and covered some topics in which I was interested. The assessment aided the learning process. It was relevant to the current environments.
Yevhenii S –
It is really good course, all described topics are highly important to know for everyone who working with data and information.
Leila T A –
I really enjoyed the material and the way it was presented. Even though I am not new to the topic, still more avenues and perspectives were supported with very good examples. Very refreshing.
Darmain –
Very good course with excellent examples and a balanced approach. My only issue was that the pace of the presentation was a little too slow at times. Content wise, excellent.
Steve H –
Very informative content that was effectively communicated by H.V. Jagadish
Michael T –
Great course with lots of pertinent content and examples to use right away.
Olaf M –
Good, useful grounding in ethics.
Grzegorz K –
Nice, introductory course to ethics in data science. It is a good starting point for ethics considerations in this area.
Sergei K –
A must take for anyone working with data
GOR B –
Great content, important topics
Nejde M –
Excellent course.
Bea S –
I enjoyed taking this course because I have learned a lot.
casey l –
I think some of the concepts are really new and hard to grasp. But that’s with everything we are learning that’s new. Uncomfortable is good.
Stefano V –
A very interesting course, excellent teacher and full of new point of view on data science