AI & Ethics   

This self-paced course is designed to help you explore how artificial intelligence is quickly reshaping accounting and finance functions. You'll learn to distinguish between different types of AI and understand how they're being applied in areas like forecasting, operations management, financial analysis, and more. The course’s 6 modules take approximately 2 to 3 hours to complete.

In Module 1, you’ll review foundational AI concepts and key terms frequently used by accounting and finance professionals. You’ll also explore the spectrum of AI capabilities, including narrow, general, and super intelligence, and what each means for your current and future work. You’ll also examine the difference between responsible and ethical AI use, understanding how each framework shapes trustworthy and fair AI implementation in financial decision-making.

Module 2 will demystify how machine learning (ML) works and how it intersects with everyday accounting and finance practices.

Module 3 focuses on automation tools and how they are transforming accounting operations. You’ll take a look at how rule-based bots and examine where bots can bring value to accounting workflows, from invoice processing to reconciliations. You will also assess the operational and ethical risks introduced by unattended automation, including the risk of errors and accountability gaps.

In Module 4, you’ll learn practical strategies for using large language models (LLMs) such as ChatGPT in accounting and finance roles. Key risks such as hallucination, data leakage, and misuse of proprietary content will be addressed.

What about the evolving role of AI agents that perform multi-step tasks with limited human input? Module 5 introduces you to how agents differ from single-task bots or models and the new capabilities they bring to accounting and finance work – and why human oversight remains critical for complex or high-stakes decisions.

Finally, Module 6 guides you through creating a practical toolkit and a personal action memo that will help you carry forward both the technical knowledge and the ethical mindset you've developed.

Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.

For journalists, advertisers, publicists, and media creators, understanding AI will be key to operating in the rapidly changing media environment. Generative artificial intelligence (AI) is revolutionizing knowledge production industries, especially media industries. The efficient production of written and visual content, along with the possibility of strategic insights derived from large language models, stands to radically transform how media is produced and consumed.

However, simply understanding the tools is not enough – it’s important to develop an ethical framework for how to best deploy AI given the potential pitfalls for both consumers and creators.

In this self-paced course, you will explore the transformative potential of generative AI for media industries, along with its ethical threats to the human users of these technologies. You will develop an ethical framework for evaluating these technologies, and apply this framework in specific media contexts, including journalism, advertising, public relations, and media production.

The course takes approximately two to three hours to complete. You’ll learn to:

• Demystify how GenAI works.
• Understand how AI tools like ChatGPT actually work.
• Strengthen ethical judgment and develop an ethical framework.
• Learn to identify risks such as bias, copyright, and misuse before they cause harm.
• Apply AI responsibly
• Practice using the ethical framework to evaluate new tools and ensure they align with professional standards.
• Improve workflow efficiency by understanding where automation and AI add value without replacing human professionals.

Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.

In this self-paced course, you’ll explore the ethical dimensions of writing in an age of artificial intelligence. Through case studies, you’ll explore how emerging AI tools both challenge and reinforce traditional standards of ethical communication in academic and professional settings.

The 5-module course will take approximately two to three hours to complete and begins with grounding in the core principles of ethical writing, including academic honesty, authorship, and intellectual responsibility. You’ll engage with the evolving responses of writing instructors and scholars, critically examining a range of pedagogical and disciplinary approaches to AI and the ethical complexities of student work generated or supported by AI. You’ll explore practical frameworks to help you navigate decisions around fairness, authorship, consent, and transparency. By the end, you’ll develop strategies for teaching writing with integrity in AI-enhanced classrooms and craft your own AI Philosophy grounded in personal and disciplinary values.

This course will prepare you to:

• Analyze how AI contributes to conversations of ethics in the field of writing studies, particularly with regard to academic honesty.
• Evaluate how post-secondary instructors of writing are responding to the use of AI in their classrooms and its impact on pedagogy.
• Apply ethical principles of AI use in your teaching, lesson planning, and instructional design.
• Assess ethical considerations of AI for writing, including authorship, citation, and originality.
• Make informed, discipline-specific decisions about the best uses of AI in your teaching.

Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.

Step into the future of medicine with Code of Ethics: Guiding the Future of AI in Healthcare! This 3-hour self-paced course takes you on a journey through the essentials of AI in healthcare, starting with the difference between generative and predictive AI and how they enhance diagnostics and personalize treatments. You'll delve into the ethical principles—autonomy, beneficence, nonmaleficence, and justice—that ensure AI is used responsibly in medical settings.

As you progress, you'll tackle key topics like data privacy, patient confidentiality, and the balance needed for AI to access health information safely. Discover strategies to address bias in algorithms and reduce disparities in healthcare outcomes. We’ll also cover transparency, explainable AI, and the regulatory frameworks that keep AI practices accountable.

Looking ahead, explore emerging trends like personalized medicine and robotic surgery, with a focus on ethical guidelines that protect patients and advance healthcare.

Module Overview:

1. Introduction to AI in Healthcare
2. Ethical Principles in AI
3. Privacy and Data Security
4. Bias and Fairness in AI
5. Transparency and Accountability
6. The Future of Ethical AI in Healthcare

Course Time: 3 hours (self-paced, fully online)

Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.

In this course you’ll explore how Generative AI is quicky transforming the way businesses create value and engage with customers. The course features four modules that examine both the opportunities and the challenges this technology brings and discusses practical strategies for using it responsibly.

The self-paced interactive content will take you approximately 2 to 3 hours to complete and includes:

• Development of GenAI technologies, their capabilities, and limitations;
• Exploration of data types, preparation, quality, privacy, and governance as drivers of AI performance and trustworthiness;
• How to recognize ethical risks and concerns, including human bias, algorithmic bias, hallucinations, and data privacy concerns;
• Addressing ethical issues associated with GenAI in managerial decision-making;
• Developing cybersecurity-informed approaches that emphasize transparency, adaptive governance, human oversight, and ethical data practices; and
• Analyzing real-world examples and expert perspectives from diverse sectors, including software, healthcare, education, and professional services.

Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.

Step into the future of business innovation with Responsible AI: Navigating AI in Business! This 3-hour self-paced course provides an essential guide to understanding and implementing ethical AI practices in the business world. Begin your journey by exploring the foundational concepts of AI ethics and identifying the key challenges businesses face when adopting AI-driven solutions.

Learn how to foster trust in AI systems, ensuring their deployment aligns with corporate values and public expectations. Dive into the principles of robustness and safety, discovering how businesses can create resilient AI systems while minimizing risks.

Delve into the critical topic of privacy and data governance, uncovering strategies to protect consumer data while enabling AI to deliver impactful results. Examine ethical AI design principles, focusing on inclusive decision-making processes and addressing bias in AI models to create equitable outcomes.

As you progress, explore the intersection of innovation and responsibility by examining emerging AI trends, regulatory frameworks, and the business opportunities presented by trustworthy AI. By the end of this course, you’ll have the tools to navigate the challenges of AI in business while driving sustainable, ethical growth.

Module Overview:

1. Introduction to AI Ethics and Identifying Ethical Challenges
2. Promoting Trustworthy AI in Business
3. Ensuring Robustness and Safety of AI
4. Privacy and Data Governance in AI
5. Ethical AI Designs and Decision-Making

Course Time: 3 hours (self-paced, fully online)

Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.

Discover how AI transforms the legal world in AI and Ethics in Law! This 3-hour self-paced course breaks down the essentials of using AI tools responsibly, covering key opportunities, challenges, and ethical considerations. Perfect for legal professionals looking to stay ahead, it will equip you with the knowledge to navigate AI confidently in your practice.

Modules Overview:

1. Introduction to AI and Ethics in Law
2. Evolution of AI in the Legal Context
3. AI Applications in Law Practice
4. Regulatory and Other Guidance on AI Use in Law Practice
5. Ethical Implications of AI in Law and Law Practice
6. Practical Considerations and the Future of AI Use in Law Practice

Course Time: 3 hours (self-paced, fully online)

Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.