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Ethical AI
Ria Cheruvu
Ria Cheruvu
Learn how to approach and apply the ethics of artificial intelligence with Udacity. Develop ethical AI literacy and apply key concepts and principles at the business level.
Prerequisite details
Read more
Learn how to approach and apply the ethics of artificial intelligence with Udacity. Develop ethical AI literacy and apply key concepts and principles at the business level.
Prerequisite details
Read more
Learn how to approach and apply the ethics of artificial intelligence with Udacity. Develop ethical AI literacy and apply key concepts and principles at the business level.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- AI fluency
- Python data analysis libraries
- Machine learning model implementation
- Pandas
- Data visualization
- matplotlib
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/r4yhtk/ethical
What's inside
Syllabus
Learn the fundamentals of AI Ethics, including the definitions, history, context, and stakeholders involved with this domain!
Learn how to articulate and apply ethical AI for organizations and businesses, including how bias applies to organizations, ethical AI principles and programs, and guardrails!
Read more
Syllabus
Learn the fundamentals of AI Ethics, including the definitions, history, context, and stakeholders involved with this domain!
Learn how to articulate and apply ethical AI for organizations and businesses, including how bias applies to organizations, ethical AI principles and programs, and guardrails!
Read more
Learn how to identify the different types of AI biases and harms, and apply harm quantification metrics for evaluating fairness!
Learn how to mitigate bias, including comparisons between strategies and metrics, and applying techniques toward enhancing fairness!
Learn how to articulate context around AI regulations, data governance, and auditing! Along the way, you will also learn how to apply techniques for transparency and explainability.
Test your skills for identifying the ethical impact of a use case! You'll perform quantitative analyses, mitigate bias, and create a model card to document the ethical impact and your findings!
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores AI ethics, including definitions, history, and context
Teaches how to apply ethical AI for organizations and businesses
Develops skills in identifying and mitigating AI biases and harms
Examines AI regulations, data governance, and auditing
Taught by Ria Cheruvu, an experienced instructor in AI ethics
Requires prior knowledge in AI, Python data analysis libraries, machine learning model implementation, Pandas, data visualization, and matplotlib
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Activities
Coming soon
We're preparing activities for
Ethical AI.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Ethical AI will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers design, develop, and maintain AI systems. They need to have a strong understanding of AI ethics to ensure that the systems they create are safe and reliable. This course helps build a foundation in AI ethics, making it a valuable resource for AI Engineers who want to advance their careers.
AI Researcher
AI Researcher
AI Researchers develop new AI technologies and applications. They need to have a strong understanding of AI ethics to ensure that the technologies they create are safe and beneficial to society. This course provides a strong foundation in AI ethics, making it a valuable resource for AI Researchers who want to advance their careers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. They need to have a strong understanding of AI ethics to ensure that the models they create are fair and unbiased. This course can help Machine Learning Engineers build the ethical AI skills they need to succeed in their roles.
Data Scientist
Data Scientist
Data Scientists use statistics, mathematics, and programming to analyze data. They then use this information to help organizations make better decisions. This course provides a strong foundation in AI ethics, fairness, and bias mitigation, making it a valuable resource for Data Scientists who want to work on AI projects responsibly.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They need to have a strong understanding of AI ethics to ensure that the products they create are safe and beneficial to society. This course may be helpful for Product Managers who want to learn more about AI ethics and how to apply it to their work.
Risk Manager
Risk Manager
Risk Managers help organizations identify and mitigate risks. They need to have a strong understanding of AI ethics to ensure that the risks associated with AI are properly managed. This course may be helpful for Risk Managers who want to learn more about AI ethics and how to apply it to their work.
Auditor
Auditor
Auditors examine the financial statements of organizations to ensure that they are accurate and complete. They need to have a strong understanding of AI ethics to ensure that the audits they perform are fair and impartial. This course may be helpful for Auditors who want to learn more about AI ethics and how to apply it to their work.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists are responsible for ensuring that data is used in a responsible and ethical manner. They need to have a strong understanding of AI ethics to ensure that data is used to benefit society, not harm it. This course may be helpful for Data Governance Specialists who want to learn more about AI ethics and how to apply it to their work.
Compliance Officer
Compliance Officer
Compliance Officers ensure that organizations comply with laws and regulations. They need to have a strong understanding of AI ethics to ensure that the organization is using AI in a responsible and ethical manner. This course may be helpful for Compliance Officers who want to learn more about AI ethics and how to apply it to their work.
Lawyer
Lawyer
Lawyers advise clients on legal matters and represent them in court. They need to have a strong understanding of AI ethics to ensure that the advice they give is ethical and responsible. This course may be helpful for Lawyers who want to learn more about AI ethics and how to apply it to their work.
Ethnologist
Ethnologist
Ethnologists study the cultures of different societies. They can work with AI systems to learn more about how people interact with them, and what cultural effects the systems might have. This course provides a strong foundation in AI ethics, including how AI systems can be biased, and what strategies can be used to mitigate bias. This course may be helpful for Ethnologists who want to work with AI systems in a responsible way.
AI Policy Analyst
AI Policy Analyst
AI Policy Analysts develop and implement policies that govern the use of AI. They need to have a strong understanding of AI ethics to ensure that policies are fair and equitable. This course may be helpful for AI Policy Analysts who want to learn more about AI ethics and how to apply it to their work.
Business Analyst
Business Analyst
Business Analysts help organizations improve their efficiency and effectiveness. They need to have a strong understanding of AI ethics to ensure that the recommendations they make are ethical and responsible. This course may be helpful for Business Analysts who want to learn more about AI ethics and how to apply it to their work.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They need to have a strong understanding of AI ethics to ensure that the applications they create are safe and reliable. This course may be helpful for Software Engineers who want to learn more about AI ethics and how to apply it to their work.
Data Analyst
Data Analyst
Data Analysts use data to identify trends and patterns. They then use this information to help organizations make better decisions. This course may be helpful for Data Analysts who want to learn more about AI ethics and how to apply it to their work.
For more career information including salaries, visit:
OpenCourser.com/course/r4yhtk/ethical
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Ethical AI.
Provides a comprehensive overview of the ethical issues surrounding artificial intelligence, including topics such as privacy, fairness, and accountability.
Offers a critical and philosophical perspective on the ethical issues surrounding artificial intelligence.
Save
Provides a comprehensive overview of the field of deep learning, including a discussion of the ethical issues surrounding AI.
Provides a comprehensive overview of the field of statistical learning, including a discussion of the ethical issues surrounding AI.
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Provides a comprehensive overview of the field of data mining, including a discussion of the ethical issues surrounding AI.
Provides a comprehensive overview of the field of machine learning, including a discussion of the ethical issues surrounding AI.
Provides a comprehensive overview of the field of machine learning, including a discussion of the ethical issues surrounding AI.
Provides a comprehensive overview of the field of machine learning, including a discussion of the ethical issues surrounding AI.
Provides a comprehensive overview of the field of machine learning, including a discussion of the ethical issues surrounding AI.
Provides a comprehensive overview of the field of machine learning, including a discussion of the ethical issues surrounding AI.
Provides a comprehensive overview of the field of machine learning, including a discussion of the ethical issues surrounding AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/r4yhtk/ethical
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Effort
4 weeks
Via
Udacity
Instructor
Ria Cheruvu
Language
English
Good to know
Explores AI ethics, including definitions, history, and context
Teaches how to apply ethical AI for organizations and businesses
Develops skills in identifying and mitigating AI biases and harms
Examines AI regulations, data governance, and auditing
Taught by Ria Cheruvu, an experienced instructor in AI ethics
Requires prior knowledge in AI, Python data analysis libraries, machine learning model implementation, Pandas, data visualization, and matplotlib
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