Self-paced course
Self-paced course
Data & AI Ethics
Data & AI Ethics
Course Description
Data and AI Ethics are topics that most data leaders and professionals don’t learn in school, or on the job.
But as the volume of data grows and the impact of ML & AI algorithms continues to increase, understanding the ethical implications of our work – and how to prevent & mitigate ethical lapses – is more important than ever.
We’ll start this course by defining AI and Data ethics before moving onto what it means to be an ethical steward of data.
From there, we’ll dive into the types of bias that can be present in your data and how it can propagate into analyses and algorithms in a way that can not only raise ethical questions, but also negatively impact your company’s bottom line.
Next we’ll dive into the world of modern AI models, and the unique risks and ethical concerns posed by powerful generative AI tools. We’ll use case studies to highlight real life controversies, discuss how to mitigate the risk of ethical lapses, and use thought exercises to help you develop the skills to anticipate, identify, and mitigate the risk of ethical lapses in your day-to-day work.
If you’re looking for a unique and highly engaging way to learn about data and AI ethics, this is the course for you.
Course Description
Data and AI Ethics are topics that most data leaders and professionals don’t learn in school, or on the job.
But as the volume of data grows and the impact of ML & AI algorithms continues to increase, understanding the ethical implications of our work – and how to prevent & mitigate ethical lapses – is more important than ever.
We’ll start this course by defining AI and Data ethics before moving onto what it means to be an ethical steward of data.
From there, we’ll dive into the types of bias that can be present in your data and how it can propagate into analyses and algorithms in a way that can not only raise ethical questions, but also negatively impact your company’s bottom line.
Next we’ll dive into the world of modern AI models, and the unique risks and ethical concerns posed by powerful generative AI tools. We’ll use case studies to highlight real life controversies, discuss how to mitigate the risk of ethical lapses, and use thought exercises to help you develop the skills to anticipate, identify, and mitigate the risk of ethical lapses in your day-to-day work.
If you’re looking for a unique and highly engaging way to learn about data and AI ethics, this is the course for you.
Course Content
2 course hours
5 quizzes
2 CPE credits
Who should take this course
Data leaders looking to build a deeper understanding of the ethical concerns prevalent in modern data products and projects
Individual contributors who want to learn more about how they can identify and mitigate potential ethical issues in their day-to-day work
Anyone looking for a thought-provoking and highly engaging course on ethics in the age of AI
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Featured review
"I really like this course because it goes beyond just theory and includes case studies and thought-provoking exercises. In a time when AI is transforming so much around us, this kind of awareness course feels more relevant and valuable than ever!"
Joyeta D.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Data & AI Ethics
Data & AI Ethics
CPE Accreditation
CPE Credits:
2
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
Course Description
Data and AI Ethics are topics that most data leaders and professionals don’t learn in school, or on the job.
But as the volume of data grows and the impact of ML & AI algorithms continues to increase, understanding the ethical implications of our work – and how to prevent & mitigate ethical lapses – is more important than ever.
We’ll start this course by defining AI and Data ethics before moving onto what it means to be an ethical steward of data.
From there, we’ll dive into the types of bias that can be present in your data and how it can propagate into analyses and algorithms in a way that can not only raise ethical questions, but also negatively impact your company’s bottom line.
Next we’ll dive into the world of modern AI models, and the unique risks and ethical concerns posed by powerful generative AI tools. We’ll use case studies to highlight real life controversies, discuss how to mitigate the risk of ethical lapses, and use thought exercises to help you develop the skills to anticipate, identify, and mitigate the risk of ethical lapses in your day-to-day work.
If you’re looking for a unique and highly engaging way to learn about data and AI ethics, this is the course for you.
Course Description
Data and AI Ethics are topics that most data leaders and professionals don’t learn in school, or on the job.
But as the volume of data grows and the impact of ML & AI algorithms continues to increase, understanding the ethical implications of our work – and how to prevent & mitigate ethical lapses – is more important than ever.
We’ll start this course by defining AI and Data ethics before moving onto what it means to be an ethical steward of data.
From there, we’ll dive into the types of bias that can be present in your data and how it can propagate into analyses and algorithms in a way that can not only raise ethical questions, but also negatively impact your company’s bottom line.
Next we’ll dive into the world of modern AI models, and the unique risks and ethical concerns posed by powerful generative AI tools. We’ll use case studies to highlight real life controversies, discuss how to mitigate the risk of ethical lapses, and use thought exercises to help you develop the skills to anticipate, identify, and mitigate the risk of ethical lapses in your day-to-day work.
If you’re looking for a unique and highly engaging way to learn about data and AI ethics, this is the course for you.
Curriculum
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Student reviews
I really like this course because it goes beyond just theory and includes case studies and thought-provoking exercises. In a time when AI is transforming so much around us, this kind of awareness course feels more relevant and valuable than ever!
Joyeta D.
To Maven analytics family, thank you so much for the Open Campus Program. I want to you assure that the lessons learned will be used ethically in handling data related issues, to avoid harmful bias and mitigate risks on the usage of AI.
D. Freeman Myers
In the rise of AI, we should all know about ethical practice about it. In this handful learning course Chris Bruehl helps to understand Data Ethics, Ethical data Stewardship, and AI Ethics & Biases. Anyone interested in data role or interested in AI should take the learning journey.
M K Junayed Parves
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Data & AI Ethics
Data & AI Ethics
CPE Accreditation
CPE Credits:
2
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
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