Data and AI ethics are crucial for organizations because they help ensure that the use of data and AI technologies aligns with societal values and principles. Ethical considerations in data and AI can prevent harm, promote fairness, and build trust with customers and stakeholders. By addressing ethical issues, organizations can avoid biases, protect privacy, and ensure transparency and accountability in their AI systems. This not only enhances the organization's reputation but also fosters a culture of responsibility and integrity, which is essential for long-term success. 

In this live, online, two-day seminar, instructor Katrina Ingram, will cover the foundational elements of data ethics and its intersection with AI ethics. The course combines principles and theory of ethics, real-world examples, and interactive class exercises to help attendees understand how ethical issues arise in data and how to think more critically about these issues. Additionally, the course will explore how AI systems can amplify existing ethical concerns and introduce new ones, while also providing strategies and solutions to address these issues and promote responsible AI practices within organizations.  

Throughout the course, participants will learn about the importance of data ethics and where core ethical issues emerge in the data lifecycle. Real-world examples will illustrate how these issues manifest in various situations. The course will also cover the history of AI, its evolution, and how it shapes present-day AI systems. Attendees will be introduced to machine learning, different types of algorithms, and how AI is utilized by organizations. 

Moreover, the course will explore core ethical issues in AI, with a special focus on generative AI. It will touch on current and proposed AI and data regulations and introduce a framework for responsible AI governance. By the end of the course, participants will have a comprehensive understanding of data and AI ethics and be equipped with the knowledge to advance responsible AI practices in their organizations. 

Two-Day Seminar Price: 

• $750 Early Bird Price through June 6, 2025 
• $1,000 after June 6, 2025 

Last day to register: Friday, June 13, 2025 

Seminar CEUs: 12 
Seminar Date: Monday - Tuesday, June 16 - 17, 2025 
Seminar Time: 8 AM – 3 PM, Pacific Time / 11 AM – 6 PM, Eastern Time 

During the two days of this training, attendees will: 

• Explore data ethics is and why it’s important 
• Understand core data ethics issues and where they arise in the data lifecycle 
• Discuss examples of how data ethics issues arise in real-world situations 
• Learn about the history of AI and how it has shaped present day AI systems 
• Engage in interactive class exercises to gain practical solutions to these ethical challenges 
• Review machine learning, types of algorithms, features, and how AI is used by organizations 
• Explore core ethical issues in AI, including a special focus on generative AI 
• Discuss current and proposed AI and data regulations 
• Learn how to develop a framework for responsible AI governance  

Who Should Attend? 

This live, online, two-day seminar is intended for business and IT professionals at all levels, who have been tasked with understanding and implementing data ethics and AI on behalf of their organization. It assumes general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data scientists, BI and data professionals, and technical staff.  

The course is not designed for any specific business domain, and as such is applicable to any business function, such as finance, manufacturing, human resources, analytics, operations, and more. 

Group and team attendance is strongly encouraged because the workshop activities can be applied for your organization’s unique ethics and AI circumstances. Those activities produce results that have immediate application and lasting value for your ongoing efforts. 

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

Contact us for a follow-up discussion! 

Seminar Format 

• A two-day workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section, breakout sessions, and exercises. 
  • The seminar date is: Monday - Tuesday, June 16 - 17, 2025 
  • Seminar time is: 8 AM – 3 PM, Pacific Time / 11 AM – 6 PM, Eastern Time 
• All seminar material will be made available for students to download. 
• DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom. 
• The DVTC Platform is where you will start your training: https://training.dataversity.net 
  • This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard. 
  • This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete. 
• When you click the “Join Now” button in the DVTC Platform, a Zoom window will open. 
  • This platform is where you will take the training, view the presentation, and engage in breakout sessions.