Impact, Ethics, and Issues with Generative AI from edX

In this course, you will explore the impact of generative artificial intelligence (AI) on society, the workforce, organizations, and the environment.

This course is suitable for anyone interested in learning about the ethical, economic, and social implications of generative AI and how generative AI can be used responsibly. It will benefit professionals, executives, policymakers, and students.

In this course, you will learn about the ethical concerns of generative AI, including data privacy, biases, copyright infringement, and hallucination. You will identify the misuses related to generative AI, including deepfakes.

Further, in the course, you will examine the considerations for the responsible use of generative AI. You will explore the broader implications of generative AI on transparency, accountability, privacy, and safety. Finally, you will learn about the socioeconomic impacts of generative AI.

The examples and cases included in the course help to realize the considerations for generative AI in real-life scenarios. You will hear from practitioners about the realities, limitations, and ethical considerations of generative AI.

What's inside

Learning objectives

• describe the limitations of generative ai and the related concerns.
• discuss the ethical issues, concerns, and misuses associated with generative ai.
• explain the considerations for the responsible use of generative ai.

• discuss the economic and social impact of generative ai.
• explain the impact of generative ai on jobs and the workforce.

• describe the limitations of generative ai and the related concerns.
• discuss the ethical issues, concerns, and misuses associated with generative ai.
• explain the considerations for the responsible use of generative ai.
• discuss the economic and social impact of generative ai.
• explain the impact of generative ai on jobs and the workforce.

Syllabus

Module 1: Limitations and Ethical Issues of Generative AI

• Video: Course Introduction

• Reading: Course Overview

• Reading: Program Overview

• Reading: Helpful Tips for Course Completion

• Video: Limitations of Generative AI

• Video: Issues and Concerns about Generative AI

• Video: Hallucinations of Text and Image-Generating LLMs

• Video: Hallucinations of Code-Generating LLMs

• Hands-on Labs: Hallucinations of LLMs

• Video: AI Portraits and Deepfakes

• Hands-on Labs: Creating AI Portraits

• Video 7: Legal Issues and Implications of Generative AI

• Reading: Module Summary

• Practice Quiz - Limitations, Concerns, and Issues of Generative AI

• Graded Quiz - Limitations and Ethical Issues of Generative AI

• Discussion Prompt: Ethical Issues about Generative AI

Module 2: Social and Economic Impact and Responsible Generative AI

• Video: Considerations for Responsible Generative AI

• Video: Implementing Responsible Generative AI across Domains

• Hands-on Lab: Ethical Considerations for Generative AI in Different Domains

• Video: AI Ethics: Perspective of Key Players

• Reading: Generative AI and Corporate Social Responsibility

• Video: Economic Implications of Generative AI

• Video: Social Implications of Generative AI

• Video: A Reimagined Workforce with Generative AI

• Reading: Module Summary

• Practice Quiz: Social and Economic Impact and Responsible Generative AI

• Graded Quiz: Social and Economic Impact and Responsible Generative AI

• Discussion Prompt: Generative AI’s Influence on Mental Health

Module 3: Course Quiz, Project, and Wrap-up

• Glossary - Generative AI: Introduction and Applications

• Reading: Implementing Responsible Generative AI

• Final Project: Preparing Your Mind for Generative AI

• Graded Quiz - Generative AI: Impact, Considerations, and Ethical Issues

• Reading: Congratulations and Next Steps

• Reading: Thanks from the Course Team

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Exploers the impact of generative AI across society, the workforce, organizations, and the environment

Provides ethical, economic, and social implications of generative AI

Suitable for professionals, executives, policymakers, and students

Covers ethical concerns including data privacy, biases, copyright infringement, and hallucination

Examines how generative AI can be used responsibly

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 Impact, Ethics, and Issues with Generative AI with these activities:

Reach out to experts in the field of generative AI

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Connecting with experts in generative AI will provide valuable guidance and support for your learning journey.

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Identify experts in the field through online directories or professional networks.
Reach out to them via email or LinkedIn and express your interest in learning about generative AI.
Request to set up a virtual or in-person meeting to discuss your aspirations and seek their advice.

Sharpening Python Skills

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Refreshing Python skills provides a strong foundation for understanding the code examples and assignments in the course.

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Review the basics of Python syntax and data structures
Complete a few practice problems

Attend industry events focused on generative AI

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Participating in industry events will connect you with professionals in the field and provide opportunities to learn about the latest advancements in generative AI.

Browse courses on Generative AI

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Identify industry events or conferences focused on generative AI.
Register and attend the events.
Engage with speakers, exhibitors, and other attendees to gain insights and expand your knowledge.

Nine other activities

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Review of Natural Language Processing

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Reviewing NLP will provide a strong foundation for understanding the course content.

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Read an article on the basics of NLP
Complete an online tutorial on NLP
Practice using an NLP library

The Ethical Algorithm

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This book provides a comprehensive overview of the ethical challenges and opportunities presented by generative AI.

View The Ethical Algorithm: The Science of Socially... on Amazon

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Read Chapter 1 to understand the foundations of AI ethics
Read Chapters 2-4 to explore specific ethical issues related to generative AI

Generate text using a variety of prompts

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Practicing generating text with different prompts will help you gain a better understanding of the capabilities and limitations of generative AI.

Browse courses on Text Generation

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Choose a variety of prompts, including different topics, lengths, and styles.
Use a generative AI tool to generate text for each prompt.
Analyze the generated text for quality, coherence, and relevance to the prompt.

Using Generative AI Tools

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Following tutorials allows students to gain hands-on experience with generative AI tools.

Browse courses on Generative AI Tools

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Choose a generative AI tool to explore
Follow a tutorial on using the tool
Experiment with the tool and explore its capabilities

Explore case studies of generative AI implementations

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Examining case studies of real-world generative AI applications will provide practical insights into the potential uses and challenges of this technology.

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Identify a few case studies of generative AI implementations in different industries.
Read or watch the case studies to understand the problem being addressed, the solution implemented, and the outcomes achieved.
Discuss the implications of the case studies for the ethical and responsible use of generative AI.

Exploring Generative AI Prompts

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Practicing prompts helps students understand how to effectively interact with generative AI models.

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Experiment with different types of prompts
Get feedback on your prompts

Case Study: Responsible AI Implementation

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Creating a case study allows students to apply the concepts of responsible AI in a practical setting.

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Identify a real-world scenario for generative AI implementation
Research and analyze the ethical considerations of implementing generative AI in the scenario
Develop and present a plan for implementing generative AI responsibly

Develop a proposal for a generative AI project

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Creating a proposal for a generative AI project will allow you to apply your understanding of the technology and its potential applications.

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Define the problem or opportunity that your project will address.
Research potential generative AI solutions and select the most appropriate approach.
Develop a detailed plan for implementing and evaluating your project.
Write a persuasive proposal that outlines your project's objectives, methods, and expected outcomes.

Collaborative AI Project

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Working on a collaborative project allows students to share knowledge, learn from others, and improve their communication and teamwork skills.

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Form a team of 2-3 students
Brainstorm and select an AI project
Collaborate on developing the project

Career center

Learners who complete Impact, Ethics, and Issues with Generative AI will develop knowledge and skills that may be useful to these careers:

AI Ethicist

AI Ethicists analyze the ethical implications of AI. They develop frameworks and guidelines for the responsible use of AI. This course can help AI Ethicists understand the ethical implications of generative AI. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for AI Ethicist

AI Policy Advisor

AI Policy Advisors develop policies and regulations for the use of AI. They work with governments and organizations to ensure that AI is used in a responsible and ethical manner. This course can help AI Policy Advisors understand the ethical implications of generative AI. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for AI Policy Advisor

AI Researcher

AI Researchers develop new AI algorithms and techniques. They explore the frontiers of AI and work to push the boundaries of what is possible. This course can help AI Researchers understand the ethical implications of developing and using generative AI. It can also help them develop strategies to mitigate potential biases and ensure the responsible use of AI.

See salaries and explore the career path for AI Researcher

Data Scientist

Data Scientists analyze and interpret large amounts of data to extract meaningful insights. They design and implement analytical models to solve complex business problems. This course on the impact, ethics, and issues with generative AI can help Data Scientists better understand the ethical implications of using AI-generated data in their models. It can also help them develop strategies to mitigate potential biases and ensure the responsible use of AI.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They work closely with Data Scientists to ensure that models are accurate and efficient. This course can help Machine Learning Engineers understand the ethical implications of using generative AI models. It can also help them develop strategies to mitigate potential biases and ensure the responsible use of AI.

See salaries and explore the career path for Machine Learning Engineer

Data Privacy Officer

Data Privacy Officers are responsible for protecting the privacy of personal data. They develop and implement policies and procedures to ensure that data is collected, used, and stored in a compliant manner. This course can help Data Privacy Officers understand the ethical implications of using generative AI to generate data. It can also help them develop strategies to mitigate potential privacy risks.

See salaries and explore the career path for Data Privacy Officer

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of technologies, including AI and machine learning. This course can help Software Engineers understand the ethical implications of using generative AI in their applications. It can also help them develop strategies to mitigate potential biases and ensure the responsible use of AI.

See salaries and explore the career path for Software Engineer

Risk Manager

Risk Managers are responsible for identifying, assessing, and mitigating risks. They work with a variety of stakeholders, including executives, managers, and employees. This course can help Risk Managers understand the ethical implications of using generative AI in their risk assessments. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for Risk Manager

Sales Manager

Sales Managers are responsible for leading sales teams and generating revenue. They work with a variety of customers, including businesses and individuals. This course can help Sales Managers understand the ethical implications of using generative AI in their sales pitches. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for Sales Manager

Business Analyst

Business Analysts analyze business processes and develop solutions to improve efficiency. They work with a variety of stakeholders, including executives, managers, and employees. This course can help Business Analysts understand the ethical implications of using generative AI in their analyses. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for developing and managing product roadmaps. They work with a variety of stakeholders, including engineers, designers, and marketers. This course can help Product Managers understand the ethical implications of using generative AI in their products. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for Product Manager

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. They work with a variety of channels, including social media, email, and print. This course can help Marketing Managers understand the ethical implications of using generative AI in their campaigns. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for Marketing Manager

UX Designer

UX Designers design the user experience for software applications. They work to ensure that applications are easy to use and enjoyable. This course can help UX Designers understand the ethical implications of using generative AI in their designs. It can also help them develop strategies to mitigate potential biases and ensure the responsible use of AI.

See salaries and explore the career path for UX Designer

Compliance Officer

Compliance Officers are responsible for ensuring that organizations comply with laws and regulations. They work with a variety of stakeholders, including executives, managers, and employees. This course can help Compliance Officers understand the ethical implications of using generative AI in their compliance programs. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for Compliance Officer

Lawyer

Lawyers advise clients on legal matters and represent them in court. They work with a variety of clients, including individuals, businesses, and governments. This course can help Lawyers understand the ethical implications of using generative AI in their legal practice. It can also help them develop strategies to mitigate potential risks and ensure the responsible use of AI.

See salaries and explore the career path for Lawyer