Ethics and AI from edX

Unravel the ethical challenges with artificial intelligence (AI) and how they can be understood using traditional ethical models.

The age of AI brings with it a complex web of ethical dilemmas and regulatory challenges that transcend traditional boundaries. This demands a new understanding and proactive management from those at the helm of compliance. This course delves into the heart of AI ethics, exploring the profound questions that AI poses to traditional ethical frameworks and compliance mechanisms. Participants will embark on a comprehensive journey to build awareness of AI technology, its deployment, ethics as a subject, and then ethics in the context of AI development.

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 the development of ethics
Discover ethical philosophies and their theories
Develop a understanding of applied ethics
Recognise applied ethical frameworks

Comprehend business ethics and ethics in the financial industry
Know the difference between compliance and ethics
Consider the world economic forum’s overview of nine ethical issues in ai

Understand the development of ethics
Discover ethical philosophies and their theories
Develop a understanding of applied ethics
Recognise applied ethical frameworks
Comprehend business ethics and ethics in the financial industry
Know the difference between compliance and ethics
Consider the world economic forum’s overview of nine ethical issues in ai

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores the ethical dilemmas and regulatory challenges presented by AI, which is highly relevant for professionals in compliance roles

Created by subject matter experts from the International Compliance Association, which is a reputable organization in the field of compliance

Examines the World Economic Forum’s overview of nine ethical issues in AI, which offers a comprehensive perspective on current challenges

Requires learners to understand the development of ethics, which may necessitate additional study for those without a background in philosophy

Differentiates between compliance and ethics, which helps learners understand the nuances of navigating AI in regulated environments

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 Ethics and AI with these activities:

Review Ethical Frameworks

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Reinforce your understanding of fundamental ethical frameworks to better grasp the nuances of AI ethics.

Browse courses on Ethical Frameworks

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Review major ethical theories like utilitarianism and deontology.
Summarize the key principles of each framework.
Consider how these frameworks apply to real-world scenarios.

Review 'Ethics in the Age of Disruptive Technology'

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Gain practical insights into applying ethical principles to disruptive technologies like AI.

View Putting Knowledge to Work on Amazon

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Read the book, focusing on chapters related to AI ethics.
Identify key operational strategies for ethical AI development.
Reflect on how these strategies can be implemented in your own work.

Review 'AI Ethics'

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Gain a comprehensive understanding of the ethical, legal, and social implications of AI.

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Read the book, focusing on chapters relevant to your interests.
Take notes on key arguments and concepts.
Discuss the book with peers or colleagues.

Three other activities

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Create a Presentation on AI Ethical Issues

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Solidify your understanding of AI ethics by creating a presentation that explores key ethical issues.

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Research current ethical challenges in AI.
Develop a presentation outlining these challenges.
Present your findings to colleagues or peers.

Create a Data Visualization of AI Bias

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Demonstrate your understanding of AI bias by creating a data visualization that illustrates its impact.

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Research datasets that demonstrate AI bias.
Choose a visualization tool (e.g., Tableau, Python).
Create a visualization that effectively communicates the bias.

Develop an AI Ethics Checklist

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Apply your knowledge by creating a practical checklist for evaluating the ethical implications of AI projects.

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Identify key ethical considerations for AI development.
Create a checklist to assess these considerations.
Test the checklist on a sample AI project.

Career center

Learners who complete Ethics and AI will develop knowledge and skills that may be useful to these careers:

Compliance Officer

A compliance officer ensures an organization adheres to legal standards and internal policies, a role that is evolving rapidly with the rise of artificial intelligence. This course, created by the International Compliance Association, is especially helpful for compliance officers navigating the ethical landscape of AI, allowing them to align practices with regulatory demands and moral expectations. By exploring traditional ethical models and their application to AI, the course provides a foundation for creating AI compliance frameworks. This can help guide policies and safeguard against potential ethical breaches.

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Regulatory Affairs Specialist

A regulatory affairs specialist ensures that a company's products, services, and practices comply with laws and regulations, increasingly including those relating to AI. This course is beneficial to a regulatory affairs specialist, because it provides a deep dive into the ethical dimensions of AI, ensuring that organizations develop responsible AI products, align with evolving regulations, and address ethical issues proactively. The course's focus on bridging the gap between compliance and ethics is particularly useful in the domain of AI governance.

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Risk Manager

Risk managers identify potential threats, including those stemming from the use of artificial intelligence. This course is beneficial for risk managers who are learning to assess and mitigate risks associated with AI, offering a look into the ethical considerations that underpin responsible AI implementation. The course helps risk managers understand not just the technical aspects of AI risks, but also the various ethical philosophies and frameworks relevant to AI, enabling more thorough risk assessments. In particular, the course focuses on the World Economic Forum’s overview of nine ethical issues in AI, which is directly applicable to risk management in the AI space.

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Ethics Consultant

An ethics consultant advises organizations on ethical issues and helps them develop ethical guidelines. This course is particularly relevant for an ethics consultant who needs insights into the complex ethical challenges posed by artificial intelligence. Understanding the landscape of AI ethics, along with the development of ethics as a subject, help an ethics consultant guide an organization to adopt responsible practices. The course's exploration of ethical philosophies and their theories would provide an ethics consultant with a strong base for their work.

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Financial Crime Analyst

Financial crime analysts investigate and prevent financial crimes, and this role now needs to consider the impact of artificial intelligence. This course, created by the International Compliance Association, is useful for professionals in financial crime analysis who need to understand the ethical risks in AI, focusing on the intersection of ethics and technology. The course's discussion of business ethics and ethics in the financial industry will assist an analyst in assessing vulnerabilities and setting up preventive measures in this new technological era.

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Technology Auditor

A technology auditor assesses the effectiveness of an organization's technology controls, and this is particularly relevant with the growth of artificial intelligence. This course is useful for a technology auditor by providing a framework to understand the ethical implications of technology, particularly in the realm of AI. The course helps auditors evaluate how AI systems adhere to ethical guidelines and mitigate risks, while also providing the insights necessary to assess the responsible use of AI within an entity.

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Policy Analyst

Policy analysts develop and evaluate policies, and their work now includes the ethical dimensions of artificial intelligence. This course may help a policy analyst, because it provides a solid foundation in applied ethics and frameworks, specifically within the context of AI. Understanding the difference between compliance and ethics can be vital for a policy analyst seeking to create effective policies. The course material is especially useful for those who need to consider the ethical implications of AI in policy-making.

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Data Governance Manager

Data governance managers create and maintain policies for data use, and with the increasing use of artificial intelligence, this is a key role. This course may be beneficial for data governance managers because it provides insights into the ethical considerations surrounding data and AI, which are vital for data governance. The course helps managers to develop policies that not only comply with regulations but also align with ethical principles, fostering a sense of responsibility when dealing with data and the AI that uses it.

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Legal Counsel

Legal counsel provides legal advice, and this now includes the ethical dimensions of artificial intelligence. The exploration of ethical philosophies and frameworks in this course may be beneficial to legal counsel who need to navigate the complex legal landscape of AI. This course will help legal counsel in understanding the nuances of AI ethics, allowing them to better advise their clients on how to comply with laws and regulations in the domain of AI.

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Project Manager

A project manager oversees projects from inception to completion, including those that involve artificial intelligence, and this course may be useful for those seeking to oversee such projects. By delving into the ethical dimensions of AI, a project manager can ensure projects are not only completed on time and within budget, but also in a way that is socially responsible. Understanding ethical frameworks can help project managers anticipate and mitigate potential issues in AI projects.

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Software Developer

Software developers design and build software applications, including those that utilize artificial intelligence, and their work must increasingly align with ethical principles. This course may be helpful for software developers who are looking to understand the ethical considerations that should guide the creation of AI systems. The course can help a software developer build ethical frameworks into technology development, ensuring that AI systems are not only functional but also aligned with ethical values.

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Research Analyst

Research analysts gather and analyze data, a role that is deeply intertwined with artificial intelligence. This course may be beneficial for research analysts, especially those who are dealing with data used in AI, because it helps them understand the ethical implications of data collection, analysis, and use in AI systems. By having an understanding of ethics and AI, a research analyst can ensure they are aware of the boundaries of ethical AI research methods.

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Business Analyst

Business analysts identify and solve business problems, and with the arrival of artifical intelligence, this increasingly involves the use of data and technology. This course may be useful for a business analyst who is trying to grasp the ethical challenges and opportunities of AI. The course can assist the analyst in evaluating various AI solutions from an ethical perspective, and ensure that business practices are not just effective but also responsible, and that risks are mitigated.

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Product Manager

Product managers oversee the development of new products, including those that incorporate artificial intelligence, and are becoming increasingly aware of the need for responsible AI. This course may be helpful to a product manager who needs to incorporate ethical considerations into product development, understanding how ethics fit into the AI product lifecycle. The course may help a product manager ensure that products are not only functional and profitable but also adhere to ethical standards.

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Data Scientist

Data scientists analyze large data sets to extract insights, often using artificial intelligence, and should be aware of the ethical challenges that accompany this line of work. The focus on ethics in this course may be useful for a data scientist, helping them to understand the ethical implications of their work, especially when it comes to AI-driven data insights. A data scientist will be aware of the responsible use of data and AI in their analysis.

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Reading list

We've selected one 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 Ethics and AI.

Putting Knowledge to Work

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Provides a practical guide to navigating ethical dilemmas posed by emerging technologies, including AI. It offers a roadmap for operationalizing ethics within organizations. It is particularly useful for understanding how to translate ethical principles into concrete actions in the context of AI development and deployment. This book adds depth to the course by providing real-world examples and actionable strategies.

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Ethics and AI

What's inside

Learning objectives

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Activities

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