Responsible AI Foundations
A human-centered design approach to responsible artificial intelligence.
Welcome to RAI
As AI becomes increasingly prevalent in society day-to-day, it is crucial to teach educators and students on how to use and critically analyze the outputs of AI systems. Responsible AI Foundations will focus on AI and RAI at an introductory level. In this certification, we'll start making connections between AI and the downstream impacts it presents, both positive and challenging.
Our idea: the most effective way to learn about AI is from the technology itself, creating an interactive experience unmarred by overly technical lectures. We’re creating a future where students can design more comprehensive, explainable, ethical and efficient technology. MindSpark’s Responsible AI Foundations is a new certification created with Generative AI. Not only is it about artificial intelligence — it is artificial intelligence.
Learning Objectives
Identify
the various models/processes that are used to differentiate between AI and RAI systems.
Determine
which instances the Human-Centered Design approach should be used.
Recognize
the hidden biases and other ethical concerns within Artificial Intelligence systems.
Discern
the process for ensuring that AI systems are justifiable, explainable, and secure.
Apply
Artificial Intelligence and Responsible Artificial Intelligence foundations when using ChatGPT.
According to Accenture, Responsible AI (RAI) is the practice of ‘designing, developing, and deploying AI with good intention to empower employees and businesses, and fairly impact customers and society’.
Ethics and equity are two tenets of RAI, and this speaks to our mission and values as an organization. We believe in creating inclusive and safe access to this technology not only for those who will consume and interact with it, but also for those who will influence, design, build and engineer it in the future.
Why Responsible?
Why Now?
McKinsey Global Institute estimates that Al will boost the GDP by $13 trillion in the U.S. by 2030 — are your students prepared? Engaging and succeeding with AI is not just about being a data scientist or engineer, it’s about being able to think critically, innovate, collaborate, and iterate. AI impacts every student, and every subject.
MindSpark is a forerunner in the AI Education space, and we are best positioned to address the current education-to-workforce gaps. Our experiences have transformed tens of thousands of educators, and by extension, hundreds of thousands of students.
​
MindSpark is here to help -- to guide, nurture, and educate. Responsible AI provides context and confidence to educators looking for a sustainable, effective, and inclusive way to engage with AI in the classroom. You might say creating a better future is a our responsibility.