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Course Catalog

AI & Ethics   

Browse our subcategories and view our featured courses below:
  • AI and Ethics in Accounting
  • Fee: $405.00
  • Instructor: Gia Chevis, PhD

    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.

 

  • AI and Ethics in Media
  • Fee: $405.00
  • Instructor: Alec Tefertiller

    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.

 

  • Code of Ethics: Guiding the Future of AI in Healthcare
  • Fee: $405.00

     

    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.

     

 

  • Responsible AI: Navigating AI in Business
  • Fee: $405.00

     

    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.

     

 

  • The New Reality: AI and Ethics in Law
  • Fee: $405.00

     

    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.

    to navigate the complex intersection of AI and the law.

     

 

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