UC Davis - Big Data, Artificial Intelligence, and Ethics
5.0 /5- Offered byCoursera
Big Data, Artificial Intelligence, and Ethics at Coursera Overview
Duration | 12 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Big Data, Artificial Intelligence, and Ethics at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Big Data, Artificial Intelligence, and Ethics at Coursera Course details
- This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson's artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.
Big Data, Artificial Intelligence, and Ethics at Coursera Curriculum
Getting Started and Big Data Opportunities
What is this Specialization About?
Course Introduction
Big Data Overview
What is "Big Data"?
Digital Footprint
Political Data-fusion and No-Sampling (Part 1)
Political Data-fusion and No-Sampling (Part 2)
Real-time
Machine Learning
Machine Learning Recommender Systems
About UCCSS
A Note From UC Davis
Optional/Complementary
Module 1 Quiz
Big Data Limitations
Big Data Limitations Overview
Big Data Limitations
Footprint ? Representativeness
Data ? Reality
Meaning ? Meaningful
Discrimination ? Personalization
Correlation ? Causation
Past ? Future
Welcome to Peer Review Assignments!
Natural Language Processing (NLP) Assignment Task
Module 2 Quiz
Artificial Intelligence
Introduction to Artificial Intelligence
A Short History of AI
State of the Art
The Most Intelligent Gamer
Search and Robotics
Vision and Machine Learning
AI Challenges
Moral Frames
Predictions From Morals
Moral Brain Signatures
Computational fMRI
(A Personal) History of Dialogue Systems
The Art of Dialogue
Making Conversations
AI Telling Stories
Optional/Complementary
Module 3 Quiz
Research Ethics
Human Downgrading
Attention Economy
Exploiting Cognitive Biases
Persuasive Tech is Everywhere
Digital Exit Strategy - Part 1
Digital Exit Strategy - Part 2
Digital Exit Strategy - Part 3
Digital Exit Strategy - Part 4
Introduction to Research Ethics
Origins: Unethical Medical Research
Unethical Social Research
Taking Responsibility
The Common Rule
Ethical Computational Social Science
Concerns of an AI Pioneer
Walker on Ethics (Complementary)
Shelton on Ethics (Complementary)
Language Acquisition (Complementary)
Modeling Framework (Complementary)
Computational Model (Complementary)
Lessons Learned (Complementary)
Slaughterbots
Module 4 Quiz
Big Data, Artificial Intelligence, and Ethics at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Big Data, Artificial Intelligence, and Ethics at Coursera Students Ratings & Reviews
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