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Ria Cheruvu

Understand ethical AI's context and motivation, analyze real-world case studies, and apply ethical principles and regulatory guidelines to Generative AI. Enroll today!

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Syllabus

Ethical AI is one of the highest-impact, most in-demand skills. In this lesson, we’ll introduce you to basic concepts and terms that you’ll need to step into the world of Ethical AI.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces core principles and concepts in Ethical AI
Examines real-world case studies to demonstrate the application of ethical AI principles
Provides guidance on using ethical frameworks and regulatory guidelines in the development and deployment of Generative AI

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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 Discovering Ethical AI with these activities:
Review Ethical AI terminology
Familiarize yourself with the key concepts and terms used in Ethical AI to enhance your understanding throughout the course.
Browse courses on Ethical AI
Show steps
  • Read through the provided course syllabus and introductory materials.
  • Explore online resources and industry articles related to Ethical AI.
Compile a resource list on ethical AI regulations and guidelines
Enhance your understanding of the legal and regulatory landscape governing ethical AI.
Show steps
  • Research and gather authoritative documents on AI ethics from government agencies and industry organizations.
  • Organize and curate the resources into a comprehensive list.
  • Share your compilation with classmates or the online community.
Review key concepts of machine learning
Review fundamental machine learning concepts to enhance understanding of ethical AI principles and applications.
Show steps
  • Revisit core concepts like supervised and unsupervised learning, model evaluation, and algorithm selection.
  • Explore online resources, textbooks, or tutorials to reinforce your understanding.
  • Complete practice exercises or quizzes to test your knowledge.
Five other activities
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Summarize Ethical AI case studies
Reinforce your understanding of Ethical AI principles by analyzing and summarizing real-world case studies.
Show steps
  • Select 2-3 case studies provided in the course materials or research additional examples.
  • Analyze the case studies, focusing on the ethical challenges and implications.
  • Write a 2-3 page summary for each case study, highlighting key ethical considerations and lessons learned.
Analyze ethical case studies
Gain practical experience in applying ethical principles to real-world AI scenarios.
Show steps
  • Review provided case studies or research real-world examples.
  • Identify ethical dilemmas and potential risks associated with AI applications.
  • Discuss and propose ethical solutions or mitigation strategies.
Practice applying ethical principles to AI scenarios
Develop your critical thinking and decision-making skills in Ethical AI by engaging in practice exercises.
Show steps
  • Review the ethical principles and guidelines covered in the course.
  • Identify and analyze different AI scenarios presented in the course or online resources.
  • Apply the ethical principles to the scenarios and make recommendations for ethical AI development and deployment.
Create a video or presentation on a specialized ethical AI topic
Deepen your understanding of a specific ethical AI topic by creating educational content.
Show steps
  • Research and choose a specialized ethical AI topic.
  • Develop a clear and engaging presentation or video.
  • Share your content with others to educate and raise awareness.
Build an AI-powered solution that addresses an ethical issue
Apply ethical AI principles in a hands-on project to create a positive impact.
Browse courses on AI for Social Good
Show steps
  • Identify a real-world ethical issue that can be addressed using AI.
  • Design an AI-powered solution that prioritizes ethical considerations.
  • Develop, test, and deploy your solution.

Career center

Learners who complete Discovering Ethical AI will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Machine Learning Engineers as AI models become more complex and pose new ethical challenges.
Data Scientist
Data Scientists use statistical methods and machine learning to extract insights from data. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Data Scientists as AI becomes more prevalent in data analysis.
Software Engineer
Software Engineers design, develop, and maintain software systems. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Software Engineers as AI becomes more integrated into software systems.
Artificial Intelligence Ethicist
Artificial Intelligence Ethicists analyze the ethical implications of artificial intelligence (AI) systems and make recommendations to ensure that AI systems are aligned with ethical values. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, preparing you for a career as an Artificial Intelligence Ethicist. In particular, the course's focus on real-world case studies will give you practical experience in applying ethical principles to AI systems.
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Business Analysts as AI becomes more integrated into business processes.
Product Manager
Product Managers are responsible for the development and marketing of products. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Product Managers as AI becomes more prevalent in consumer products.
Consultant
Consultants advise clients on business and technology issues. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Consultants as AI becomes more prevalent in business and technology.
Marketing Manager
Marketing Managers plan and execute marketing campaigns. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Marketing Managers as AI becomes more prevalent in marketing campaigns.
Project Manager
Project Managers plan and execute projects. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Project Managers as AI becomes more integrated into projects.
UX Designer
UX Designers design user interfaces for websites and apps. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for UX Designers as AI becomes more integrated into user interfaces.
Sales Manager
Sales Managers lead sales teams and develop sales strategies. The course "Discovering Ethical AI" can help you build a strong foundation in the ethical principles and regulatory guidelines that govern AI, which is becoming increasingly important for Sales Managers as AI becomes more integrated into sales processes.
Operations Manager
Operations Managers plan and execute operations. The course "Discovering Ethical AI" may be helpful for Operations Managers who want to learn more about the ethical implications of AI in operations.
Human Resources Manager
Human Resources Managers manage employee relations and develop HR policies. The course "Discovering Ethical AI" may be helpful for Human Resources Managers who want to learn more about the ethical implications of AI in HR.
Financial Analyst
Financial Analysts analyze financial data and make investment recommendations. The course "Discovering Ethical AI" may be helpful for Financial Analysts who want to learn more about the ethical implications of AI in the financial industry.
Cybersecurity Analyst
Cybersecurity Analysts protect computer systems from cyber attacks. The course "Discovering Ethical AI" may be helpful for Cybersecurity Analysts who want to learn more about the ethical implications of AI in cybersecurity.

Reading list

We've selected five 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 Discovering Ethical AI.
Provides a comprehensive overview of the future of AI, with a focus on the technological and societal changes that AI will bring about. It valuable resource for anyone who wants to learn more about the potential of AI and how it might shape our future.
Provides a comprehensive overview of the alignment problem, which is the challenge of ensuring that AI systems are aligned with human values. It valuable resource for anyone who wants to learn more about the ethical and societal implications of AI.
Provides a comprehensive overview of the field of deep learning, including topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning more about the technical foundations of deep learning.
Provides a practical introduction to deep learning, with a focus on using the Fastai and PyTorch libraries. It valuable resource for anyone who wants to learn more about deep learning and how to use it to solve real-world problems.
Provides a gentle introduction to machine learning, with a focus on making machine learning accessible to everyone. It valuable resource for anyone who wants to learn more about machine learning without getting bogged down in the technical details.

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