Data Ethics, AI and Responsible Innovation from Coursera

Our future is here and it relies on data. Medical robots, smart homes and cities, predictive policing, artificial intelligences – all are fuelled by data and all promise new benefits to society. But will these innovations benefit everyone? Who stands to gain and who is put at risk? How can we ensure that data is part of a just and sustainable world?

This story-driven course is taught by the leading experts in data science, AI, information law, science and technology studies, and responsible research and innovation, and informed by case studies supplied by digital business frontrunners and tech companies.

We will look at real-world controversies and ethical challenges to introduce and critically discuss the social, political, legal and ethical issues surrounding data-driven innovation, including those posed by big data, AI systems, and machine learning systems. We will drill down into case studies, structured around core concerns being raised by society, governments and industry, such as bias, fairness, rights, data re-use, data protection and data privacy, discrimination, transparency and accountability.

Throughout the course, we will emphasise the importance of being mindful of the realities and complexities of making ethical decisions in a landscape of competing interests.

Join us as we explore these increasingly important topics further.

What's inside

Syllabus

Week 1: Law and Ethics

Week 2: Crime and Justice

Week 3: Home and City

Week 4: Money and Markets

Week 5: Life and Health

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines how new data-driven technologies, like AI, can pose threats to society

Explores the ethical dimensions of big data and machine learning

Apply expertise from science and technology studies to real-world controversies

Taught by leading experts in various fields related to data and ethics

Provides case studies from leading digital business frontrunners and tech companies

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Ethics, AI and Responsible Innovation with these activities:

Review Data Science Basics

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Refresh your understanding of data science fundamentals to lay a strong foundation for this course.

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Revisit the key concepts of data science, including data types, data structures, and data analysis techniques.
Review the principles of data collection, cleaning, and preprocessing.

Solve Data Analysis Problems

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Sharpen your data analysis skills by solving practice problems that cover various data analysis techniques.

Browse courses on Data Analysis

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Find practice problems on platforms such as Kaggle or LeetCode.
Solve the problems using appropriate data analysis techniques.
Review your solutions and identify areas for improvement.

Explore Data Visualization Techniques

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Enhance your data visualization skills by following online tutorials that provide step-by-step instructions on different techniques.

Browse courses on Data Visualization

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Find tutorials on data visualization libraries such as matplotlib, seaborn, or D3.js.
Follow the tutorials to create various types of data visualizations, such as bar charts, line charts, and scatter plots.

Three other activities

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Create a Data Ethics Report

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Demonstrate your understanding of the ethical implications of data-driven technologies by creating a report that analyzes a specific ethical issue.

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Identify an ethical issue related to data science, such as bias, privacy, or security.
Research the issue and gather relevant information.
Analyze the ethical implications of the issue and develop recommendations for addressing it.

Participate in Discussion Forums

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Engage with fellow learners by participating in discussion forums to exchange ideas, ask questions, and share knowledge related to the course topics.

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Join discussion forums related to the course.
Participate in ongoing discussions by posting thoughtful comments and questions.
Start new discussion threads to encourage dialogue on specific topics.

Contribute to Open-Source Data Science Projects

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Gain practical experience and expand your network by contributing to open-source data science projects, such as data analysis libraries or machine learning models.

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Identify open-source data science projects that align with your interests.
Review the project documentation and identify areas where you can contribute.
Submit a pull request with your contributions and engage with the project maintainers.

Career center

Learners who complete Data Ethics, AI and Responsible Innovation will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists analyze large datasets to extract insights and help businesses make better decisions. The Data Ethics, AI, and Responsible Innovation course can provide a strong foundation in the ethical and legal considerations of data science. This course will help you understand the potential risks and benefits of data-driven innovation and how to make ethical decisions in this field.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. The Data Ethics, AI, and Responsible Innovation course can help you develop the skills necessary to analyze data ethically and responsibly. This course will help you understand the importance of data privacy and security, and how to avoid bias in your analysis.

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Data Engineer

Data Engineers design and build the systems and infrastructure that store and process data. The Data Ethics, AI, and Responsible Innovation course can help you understand the ethical and legal implications of data engineering. This course will help you develop the skills necessary to design and build systems that are secure and protect user privacy.

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Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models. The Data Ethics, AI, and Responsible Innovation course can help you understand the ethical and legal considerations of machine learning. This course will help you develop the skills needed to design and deploy machine learning models that are fair, unbiased, and respectful of user privacy.

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AI Researcher

AI Researchers develop new AI algorithms and techniques. The Data Ethics, AI, and Responsible Innovation course can help you understand the ethical and legal implications of AI research. This course will help you develop the skills necessary to conduct AI research in a responsible and ethical manner.

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Policy Analyst

Policy Analysts develop and analyze policies for government agencies. The Data Ethics, AI, and Responsible Innovation course can provide you with a deep understanding of the ethical and legal issues surrounding data-driven innovation.

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Technology Ethicist

Technology Ethicists advise organizations on the ethical implications of new technologies. The Data Ethics, AI, and Responsible Innovation course can provide you with a strong foundation in technology ethics.

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Privacy Lawyer

Privacy Lawyers advise clients on privacy laws and regulations and help them develop privacy policies and procedures. The Data Ethics, AI, and Responsible Innovation course can provide you with a strong understanding of data privacy law.

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Professor

Professors teach and conduct research at colleges and universities. The Data Ethics, AI, and Responsible Innovation course can provide you with the knowledge and skills you need to teach and conduct research on data ethics and AI.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. The Data Ethics, AI, and Responsible Innovation course can give you a deeper understanding of data ethics, privacy, and security.

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Consultant

Consultants provide advice and expertise to businesses and organizations. The Data Ethics, AI, and Responsible Innovation course can give you the knowledge and skills you need to advise clients on data ethics and AI.

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Entrepreneur

Entrepreneurs start and run their own businesses. The Data Ethics, AI, and Responsible Innovation course can provide you with the knowledge and skills you need to start and run a business in the data ethics and AI space.

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Nonprofit Leader

Nonprofit leaders manage and oversee nonprofit organizations. The Data Ethics, AI, and Responsible Innovation course can provide you with the knowledge and skills you need to lead a nonprofit organization that works on data ethics and AI issues.

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Journalist

Journalists report on the latest news and events. The Data Ethics, AI, and Responsible Innovation course can help you develop the skills you need to report on data-driven innovation in a responsible and ethical manner.

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Government Official

Government officials develop and implement policies for government agencies. The Data Ethics, AI, and Responsible Innovation course can provide you with the knowledge and skills you need to work in government and develop policies on data ethics and AI.

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