In the age of unprecedented technological advancements, the ethical implications around data management and artificial intelligence (AI) have become a paramount concern. As data and AI systems permeate every aspect of our lives, from healthcare to finance, understanding the ethical considerations surrounding their development and deployment is no longer a luxury but a necessity. AI, with its potential to revolutionize industries, also carries the risk of amplifying existing biases, perpetuating inequalities, and causing harm.  

In the three-course Data and AI Ethics Learning Plan, instructor Katrina Ingram offers an in-depth exploration of data and artificial intelligence (AI) ethics. This comprehensive program guides participants through the multifaceted world of data ethics and the complex landscape of AI. The courses cover a broad spectrum of topics, from the foundational principles of data ethics to the practical applications of AI and the ethical dilemmas they present. It looks at approaches to developing ethics awareness within organizations, provides practical solutions to difficult ethical issues in data and AI, as well as real-world examples for developing strategies to address these. This learning plan offers the knowledge and tools to navigate the complex ethical landscape of data ethics in general, with a full course investigation of AI ethics. 

Participants will start by gaining a thorough understanding of the ethical considerations throughout the data lifecycle, including data collection, storage, and analysis. They will then delve into the concept of data assemblage, learning how data is gathered, processed, and utilized to create AI models. Additionally, the courses will explore the ethical implications of data and AI in various fields, such as facial recognition, autonomous vehicles, and healthcare. By the end of the program, participants will be equipped with the knowledge and skills to contribute to the responsible and ethical development of data and AI technologies. 

In the Data and AI Ethics Learning Plan you will: 

• Develop a comprehensive foundation in data ethics principles and ethical considerations related to data collection, storage, analysis, and use 
• Learn the concept of data assemblage and the emergence of ethical issues through each stage of the data lifecycle 
• Acquire the skills to critically evaluate the ethical implications of data practices, assess the ethical ramifications of data-driven decisions, and advocate for responsible data use 
• Pinpoint and address data ethics issues in practical, real-world scenarios 
• Gain a deeper awareness around data's social and political implications, its relationship to power, and how it has given rise to new business models such as surveillance capitalism 
• Identify and analyze the values, assumptions, and worldviews that shape data collection, analysis, and interpretation 
• Become proficient in evaluating data-driven systems and advocating for ethical data policies and practices that promote fairness, equity, and accountability 
• Understand the basic principles of AI, including machine learning and deep learning, and how these technologies can be used to create both beneficial and harmful applications 
• Explore the history of AI and how it has shaped present-day AI systems. 
• Develop insight into core ethical issues in AI, including a special focus on generative AI. 
• Learn about current and proposed AI and data regulations, and the concept of AI governance and how it can be applied to real-world AI projects.  

Who Should Take This Learning Plan?  

This Learning Plan is ideal for individuals who want to better understand the ethical considerations and standards implicit in all fields of data and the emerging realm of AI. This plan is suitable for aspiring data analysts, data scientists, business intelligence professionals, researchers, executives, managers, and data professionals who work with data regularly. It is valuable for data and business professionals (and the organizations they work for) ranging from the technically proficient to non-technically oriented who want to gain a solid foundation in the ethics surrounding data and AI.  

Learning Plan Price: $259 
Individual Course Price: $99 
Learning Plan CEUs: 5.0 hours 

Each Course Includes: 

• A 41- to 80-minute educational training video 
• A 13- to 18-question exam 
• “Check for Understanding” quizzes after each course section 
• Presentation slides to assist in continued learning 
• Self-paced and on-demand e-learning 
• Unlimited course access 

Courses within the Data and AI Ethics Learning Plan: 

1. Foundations of Data Ethics I  
2. Foundations of Data Ethics II 
3. An Introduction to AI Ethics 

We offer several bulk licensing options for corporate and group use. 

Contact us for a follow-up discussion!