Advance responsible AI practices. This course helps you assess, apply, and advocate for ethical AI practices in different fields. You’ll learn how to build more fair, transparent systems and get practical guidance on following key governance frameworks and ethical standards for responsible AI.
Who Is It For?
This course is ideal for anyone looking to improve their comprehension of the ethical implications of AI and learn to use this technology responsibly. It will greatly benefit professionals in AI development, data science, technology policy, or business leadership who oversee or interact with AI systems and are tasked with promoting responsible AI practices in their organization.
What’s Covered in the Training?
Each of the six lesson are structured into three clearly defined sections to enhance the learning experience: Core Concepts, Real-World Examples, and Practical Applications. Here’s an overview of what you’ll explore:
Lesson 1: Bias and Fairness in AI
Lesson 2: Transparent and Explainable AI
Lesson 3: Privacy and Data Protection in AI
Lesson 4: AI Safety and Security
Lesson 5: Accountability and AI Governance
Lesson 6: AI’s Impact on Society and the Environment
What’s Included?
- Perpetual access to the Advancing Responsible AI on-demand course:
- Six course lessons
- Instructional videos, each approximately 15 minutes long (total of 90 minutes of video content)
- Lesson quizzes and knowledge checks
- Certificate of Completion
- Ethical AI Advocate Badge
- Six course lessons
- Links to helpful resources for further learning
How Can I Take the Class?
Coming soon on October 29th! This course will soon be available for enrollment. Once launched, you’ll be able to start immediately and progress through the six lessons at your own pace right here on our site. Expect to spend about three hours working through the course. Join our waitlist to be notified as soon as the course becomes available.
If you are looking for training for your entire team, contact us for group rates. Our courses can be taken on-demand in our learning platform or uploaded into your organization’s learning management system via our SCORM or Tin Can / xAPI files.
About the Instructor
Ben Jones is the Co-Founder, CEO and head instructor at Data Literacy, LLC. Ben also teaches data visualization theory at the University of Washington’s Foster School of Business. He has trained and presented to thousands of people worldwide in his previous roles as head of Tableau Public and Academic Programs at Tableau Software and Lean Sigma Master Black Belt at Medtronic, Inc. Ben is the author of Learning to See Data (Data Literacy Press, 2020), Data Literacy Fundamentals (Data Literacy Press, 2020), 17 Key Traits of Data Literacy (Data Literacy Press, 2019), The Introspective Entrepreneur (Data Literacy Press, 2022), Avoiding Data Pitfalls (Wiley, 2019) and Communicating Data With Tableau (O’Reilly, 2014).
Detailed Course Syllabus
Bias and Fairness
- Understand the distinction between statistical bias and systemic bias
- Identify sources of bias in AI systems and their potential impacts on individuals, communities, and society
- Apply techniques to measure and mitigate unintended bias in datasets and algorithms
- Evaluate AI systems for fairness across diverse populations
Transparency and Explainability
- Describe the importance of transparency in AI decision-making processes
- Implement methods for making AI models more interpretable, including documentation practices
- Develop clear explanations of AI-driven outcomes for various stakeholders
- Understand transparency considerations specific to intelligence community applications
Privacy and Data Protection
- Analyze the privacy and civil liberties implications of AI systems and data collection practices
- Apply privacy-preserving techniques in AI development, including “Privacy by Design” principles
- Ensure compliance with relevant data protection regulations
- Evaluate the broader societal impacts of AI on civil liberties
Safety and Security
- Identify potential safety risks in AI applications
- Implement strategies to enhance the reliability and robustness of AI systems
- Design security measures to protect AI systems from malicious use
- Apply real-world AI incident insights to improve safety practices
Accountability and Governance
- Establish clear lines of responsibility for AI system outcomes
- Learn about effective governance structures for AI development and deployment
- Create and implement ethical guidelines for AI projects
- Understand the roles of Chief AI Officers, Chief Privacy Officers, and other key stakeholders
Impact on Society and Environment
- Assess the broader societal implications of AI technologies
- Develop AI solutions that address global challenges
- Balance risk mitigation with potential benefits of AI applications
- Understand the impact of AI on the workforce and strategies for successful adoption
“The Fundamentals of Data Literacy course has provided a great foundation for our employees as they begin their data fluency journeys. Our staff members quickly grabbed onto the idea of being data-informed and considering the role of intuition in their data work. The course is unintimidating and accessible for colleagues that are completely new to data, but the project work allows more experienced team members to challenge themselves by applying their learning to their daily work. This course has helped us to create a common language around data and is a valuable starting place for our data fluency programming.”
“Ben is an exceptional teacher. Definitely in my top 5%. He invites learners to engage fully, answering questions with respect and providing ideas for further study. Ben showed us dozens of useful tips to present our data professionally and with integrity. He creates efficient lesson plans, designs useful homework exercises, and provides feedback and support that helps us all excel as busy, adult learners. I finished the class feeling that it was the highest value class I’d ever taken.”
“Ben Jones is a fantastic teacher whose passion for data that leaves an impression. It’s hard not to get excited about data visualization in his class, between all the jaw-dropping examples and interesting history. I learned a lot and would highly recommend working with Ben if you’re looking to enter the data viz world!”
“Ben’s classroom presence and the ease with which he leads is inspiring. He has an infectious passion for Data that transcends into every single student bringing out the very best in them. He made me fall in love with data visualization. One of the things he said in the class that stuck with me is “with the power of data comes responsibility”.”
“In our class Ben expertly guided us through working with data and exploring how it touches our careers and lives. In each session I knew we’d learn useful tips and approaches to finding the stories in data. Every day I use the skills and insight Ben taught us.”
“Ben’s incredible depth of knowledge and passion for this field really shine through, and combined with his ability to explain the material in such a clear and straightforward manner really made the class valuable and fun.”
“I feel very fortunate to have begun my data visualization training with Ben. His ability to weave theory and practice together seamlessly left me with an understanding not just of how to assemble good visualizations, but why different data stories lend themselves to different visualization techniques.”
“I highly recommend taking a course from this team. You could be a seasoned data analyst however the information covered in the courses really cements you in understanding concepts rather than specific analytical tools. It helps you hone the analytical skills that can be applied to any type of analysis tool. The instructor was very passionate about the subjects which resulted in a very engaging experience which can often be lost on Zoom.”
“Data Literacy is very important and this company is bringing DL to everyone. The course I took was great and very interesting. I’ve got to know the fundamentals of DL, which I knew very little 😀 I recommend the courses of Data Literacy to anyone who wants to know more about data, or anyone who wants to improve the quality of their work.”
“As an aspiring data analyst, I truly learned so much from Data Literacy Level 1 course! I am definitely walking away with a broader level of fluency and also a clear set of chart reading tips to make visual representations of data more effective. This course also offers an important dimension of context to charts that helps tremendously in orienting yourself while navigating charts as a beginner.”
“The learning experience was effortless. Everything was well designed and planned.”
“Content is spot on. The time to ingest the material is very manageable.”
