We may earn an affiliate commission when you visit our partners.

Combine ethics and compliance in practical dilemmas presented in the AI world, exploring the ethical dimensions and proposing frameworks for addressing the challenges presented.

Learn how to navigate the concerns for AI deployment and discover how the compliance role is transforming in the era of AI, equipping yourself with the knowledge to thrive in this rapidly changing environment. The course also offers practical advice and recommendations on how to incorporate ethical considerations in AI, preparing you to make informed, ethically sound decisions in the AI space.

Read more

Combine ethics and compliance in practical dilemmas presented in the AI world, exploring the ethical dimensions and proposing frameworks for addressing the challenges presented.

Learn how to navigate the concerns for AI deployment and discover how the compliance role is transforming in the era of AI, equipping yourself with the knowledge to thrive in this rapidly changing environment. The course also offers practical advice and recommendations on how to incorporate ethical considerations in AI, preparing you to make informed, ethically sound decisions in the AI space.

Created by the subject matter experts from the International Compliance Association, this course is suitable for those working in regulatory or financial crime compliance who are seeking to understand the attributes and considerations surrounding ethics and AI. The course is beneficial for those looking to certify existing specialist areas of knowledge, or for those looking to increase their professional agility by learning about new areas of risk.

What's inside

Learning objectives

  • Understand themes and discussions in relation to ai ethics
  • Identify the most important concerns for ai deployment
  • Explore how the compliance role will need to develop
  • Discover recommendations and advice on how to adopt ai ethical considerations

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Offers practical advice on incorporating ethical considerations in AI, which prepares learners to make informed, ethically sound decisions in the AI space
Created by subject matter experts from the International Compliance Association, which is a leading organization in the field
Explores how the compliance role is transforming in the era of AI, equipping learners with the knowledge to thrive in this rapidly changing environment
Beneficial for those looking to certify existing specialist areas of knowledge, or for those looking to increase their professional agility by learning about new areas of risk

Save this course

Save Managing Ethical Dilemmas and AI to your list so you can find it easily later:
Save

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 Managing Ethical Dilemmas and AI with these activities:
Review 'Ethics and Data Science'
Gain a foundational understanding of ethical considerations in data science to better understand the ethical implications of AI.
Show steps
  • Obtain a copy of 'Ethics and Data Science'.
  • Read the book, focusing on chapters related to bias, privacy, and transparency.
  • Summarize key concepts and examples from each chapter.
Review foundational ethics principles
Solidify your understanding of core ethical principles to provide a strong foundation for analyzing ethical dilemmas in AI.
Browse courses on AI Ethics
Show steps
  • Review notes from previous ethics courses or readings.
  • Research key ethical frameworks (e.g., utilitarianism, deontology).
  • Summarize the core tenets of each framework.
Compile a list of AI ethical guidelines
Familiarize yourself with existing AI ethical guidelines to understand the current landscape and identify potential gaps.
Show steps
  • Research ethical guidelines from various organizations (e.g., IEEE, EU).
  • Compile a document summarizing the key principles from each guideline.
  • Compare and contrast the different guidelines.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a blog post on AI bias
Deepen your understanding of AI bias by researching and explaining its causes, consequences, and potential mitigation strategies.
Browse courses on AI Bias
Show steps
  • Research different types of AI bias and their sources.
  • Write a blog post explaining AI bias to a general audience.
  • Include examples of real-world AI bias incidents.
  • Suggest strategies for mitigating AI bias.
Discuss case studies of ethical AI dilemmas
Enhance your ability to analyze ethical dilemmas by discussing real-world case studies with peers.
Show steps
  • Find a group of peers interested in AI ethics.
  • Select several case studies of ethical AI dilemmas.
  • Discuss the ethical implications of each case study.
  • Brainstorm potential solutions and their consequences.
Review 'AI Ethics'
Gain a deeper understanding of the philosophical, legal, and social implications of AI ethics.
Show steps
  • Obtain a copy of 'AI Ethics'.
  • Read the book, focusing on chapters related to your areas of interest.
  • Take notes on key arguments and concepts.
Develop an AI ethics checklist
Apply your knowledge of AI ethics to create a practical tool for evaluating the ethical implications of AI projects.
Show steps
  • Research existing AI ethics checklists and frameworks.
  • Develop your own checklist tailored to specific AI applications.
  • Test your checklist on real-world AI projects.
  • Refine your checklist based on your findings.

Career center

Learners who complete Managing Ethical Dilemmas and AI will develop knowledge and skills that may be useful to these careers:
Compliance Officer
A Compliance Officer is responsible for ensuring a company adheres to all relevant laws, regulations, and internal policies. This course helps a Compliance Officer to apply ethical frameworks to artificial intelligence, a growing challenge in the field of compliance. The course explores the transformation of the compliance role in the age of AI, providing you with insights relevant to this work. The course discusses practical advice on how to incorporate ethical considerations into AI, a skill that is directly applicable to ensuring AI systems are deployed responsibly and in accordance with compliance mandates. It enhances your ability to manage the ethical dimensions of AI and helps you navigate the new landscape of risks in the field.
Ethics Officer
An Ethics Officer is responsible for developing and administering a company's ethical standards. This course was created by subject matter experts from the International Compliance Association and explores the ethical implications of artificial intelligence. The course’s content about themes and discussions related to AI ethics will help an Ethics Officer to create and implement effective policies. This course focuses explicitly on practical ethical dilemmas, offering specific advice on incorporating ethical considerations into AI, which are crucial for this role. An Ethics Officer will also benefit from the course's exploration of how AI is changing the field of compliance.
Risk Manager
A Risk Manager identifies and assesses potential threats to an organization, and an understanding of AI and its ethical implications is now crucial. This course, designed by the International Compliance Association, explores the ethical dimensions of AI. For a Risk Manager, this course is especially useful for addressing the unique risks posed by AI technologies. The course's advice and recommendations on adopting ethical considerations for AI is directly relevant to the role. It also helps you understand how the compliance role is evolving in the AI era, which is critical for the risk management profession. By identifying the key concerns in AI deployment, you can better anticipate and mitigate risks.
Audit Manager
An Audit Manager oversees the process of reviewing financial and operational processes to ensure compliance and effectiveness. This course, created by compliance subject matter experts, explores the ethical dimensions of artificial intelligence. This is crucial for an Audit Manager who needs to assess technologies that are integrated into core company functions. The course helps an Audit Manager by exploring the key concerns of AI deployment, as well as how the compliance role needs to evolve. This course's deep dive into AI ethics will enhance an Audit Manager's ability to evaluate the risks and effectiveness of AI systems, making it a valuable resource for the role.
Regulatory Affairs Specialist
A Regulatory Affairs Specialist ensures that a company complies with all regulations related to product development, marketing, and distribution. This course helps a Regulatory Affairs Specialist understand the emerging ethical landscape of artificial intelligence, a rapidly changing regulatory area. The course's focus on AI ethics, recommendations for adopting ethical considerations, and the transformation of compliance in the AI era helps an Regulatory Affairs Specialist address the complexities of AI. It will help you make informed, ethically sound decisions, particularly when navigating the regulatory requirements of artificial intelligence. This course is particularly relevant given the intersection of ethics and regulatory compliance in the AI sector.
Data Governance Manager
A Data Governance Manager establishes policies and procedures for the proper handling of data. This course may be useful to a Data Governance Manager as it explores themes and discussions in relation to AI ethics. It can help a Data Governance Manager identify the most important concerns for AI deployment, which is important considering that AI systems often rely on robust data sets. This course provides practical advice on how to incorporate ethical considerations in AI, which would help a Data Governance Manager to ensure data collection and use aligns with ethical standards. This course may be helpful for understanding how compliance roles are being reshaped in the age of AI.
AI Project Manager
An AI Project Manager oversees the development and implementation of artificial intelligence projects. This course may help an AI Project Manager navigate the ethical dimensions of AI, which are increasingly at the forefront of project management. The course addresses the most important concerns for artificial intelligence deployment, and this will help the AI Project Manager develop more robust implementation strategies. The course also gives practical advice on incorporating ethical considerations in AI, giving guidance to an AI Project Manager on how to responsibly integrate ethical considerations into all phases of project development. This course may be helpful by increasing an AI Project Manager's professional agility when considering the complexities of AI deployment.
Technology Consultant
A Technology Consultant advises organizations on how to use technology to meet their business objectives. This course may be useful to a Technology Consultant, as it covers the ethical dimensions of AI, which is a growing area of concern for businesses seeking to adopt innovative technologies. The course's focus on navigating concerns for AI deployment and providing advice on incorporating ethical considerations in AI provides practical knowledge for a Technology Consultant. The course also explores how the compliance role is transforming in the era of AI, which may help a Technology Consultant advise on the intersection of technology and risk management. This course may be useful in the AI space.
Financial Analyst
A Financial Analyst evaluates economic and business trends to make recommendations and to help manage financial risk. This course may be useful to a Financial Analyst who is working with AI-driven financial systems. The course helps in understanding the ethical dimensions and practical dilemmas related to AI, which can be crucial in ensuring responsible financial practices. The course discusses the compliance role in the age of AI and it helps with the ability to adapt to the changing landscape of financial technology. A Financial Analyst who wishes to be on the cutting edge of financial technologies may find this course useful.
Internal Auditor
An Internal Auditor reviews and assesses the effectiveness of internal controls, risk management, and governance processes. This course may be useful to an Internal Auditor as it explores AI ethics and the changing landscape of compliance. The course explores the concerns related to AI deployment, as well as practical advice on how to incorporate ethics into AI systems. This will help an Internal Auditor evaluate internal controls and risk management practices. An Internal Auditor will additionally gain insights on the transformation of the compliance role, which may be helpful when considering the impact of AI on existing compliance policies.
Policy Analyst
A Policy Analyst researches and develops policies related to technology or governmental processes. This course may be useful to a Policy Analyst in the technology sector, as it explores the ethical dimensions of AI and provides frameworks for navigating the challenges of adoption. The course’s discussion of AI ethics and compliance will help a Policy Analyst create informed recommendations for policies that balance innovation with ethical considerations. The course also helps a policy analyst to understand how compliance is shifting in the age of AI.
Business Analyst
A Business Analyst identifies problems and recommends solutions to help an organization meet its goals. This course may be useful to a Business Analyst as they may be tasked with recommending or evaluating the use of AI technologies in the company. The course helps a Business Analyst by discussing how to navigate the concerns around AI deployment and also providing recommendations for ethical considerations. The course also focuses on how the compliance role is evolving with the adoption of AI, which may assist a Business Analyst in understanding how these changes impact business processes. This course may be useful when considering the intersection of ethics and technology in a professional setting.
Software Developer
A Software Developer creates and maintains software systems. This course is not typically part of a Software Developer's required skill set. However a Software Developer may find it helpful if he or she is working on AI-based software programs. The course helps a Software Developer explore the ethical dimensions of AI as well as practical frameworks. The course's topics may help a Software Developer ensure AI systems are developed responsibly. This course may be useful for enhancing a Software Developer's understanding of the ethical impacts of their work.
Human Resources Specialist
A Human Resources Specialist is responsible for managing the employee lifecycle and ensuring compliance with relevant labor laws. This course may be useful to a Human Resources Specialist because AI is playing an ever-increasing role in HR. The course helps the Human Resources Specialist to understand the ethical themes and discussions related to artificial intelligence, such as concerns for AI deployment. This course may also help the Human Resources Specialist understand the transformation of the compliance role in a company as this relates to the use of AI.
Project Coordinator
A Project Coordinator assists project managers with tasks such as scheduling and tracking resources. This course may be useful to a Project Coordinator involved in projects that use artificial intelligence or sophisticated data systems. The course explores ethical considerations in AI, which can help a Project Coordinator understand the importance of compliance in these types of projects. The course’s practical advice may help to mitigate ethical risks and ensure proper deployment of AI. This course may be helpful for those involved in artificial intelligence projects.

Reading list

We've selected two 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 Managing Ethical Dilemmas and AI.
Offers a comprehensive exploration of the ethical challenges posed by artificial intelligence. It delves into the philosophical, legal, and social implications of AI, providing a nuanced understanding of the ethical landscape. This book is helpful in providing background and prerequisite knowledge. It is commonly used as a textbook at academic institutions.
Provides a comprehensive overview of ethical considerations in data science, which is crucial for understanding the ethical implications of AI. It covers topics such as bias, privacy, and transparency, offering a solid foundation for navigating ethical dilemmas in AI deployment. This book is valuable as additional reading to provide more depth to the existing course. It is commonly used as a reference tool by industry professionals.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser