How does CAISY simulate real-world conversations, and what types of scenarios can it be used for?

CAISY is built around a system of AI agents that power, simulate, and evaluate the conversation. We have guardrails to ensure that the conversations are on topic, safe, and unbiased. Different AI agents act as subjects and actors, emulating different roles so that the end-to-end conversation mimics a real-world conversation.  

In our initial launch, CAISY offered ten conversation scenarios for practice, including topics across performance management, sales motion, change management, and more. As we continue to build and release more scenarios, we are focusing on key areas like first-time managers and coaching. For example, we’ve found that 60% of first-time managers fail to meet their performance goals in their first two years on the job and 52% struggle with giving feedback to their team members. We believe CAISY can make an enormous impact for our customers in these critical areas.  

What are the key benefits that organizations and learners can expect to derive from using CAISY in their training programs?

CAISY provides a personalized simulated and interactive experience where learners can practice and test their business conversation skills in real time. The evaluation and feedback from CAISY provide a clear understanding of the learner’s conversational and communication abilities. We provide learning resources based on the learner’s skill levels and provide personalized recommendations and pathways to improve their knowledge and capabilities. Organizations can analyze the skill level of their business leaders and implement learning strategies to advance their workforce.  

Ethical use of AI, particularly in training and learning applications, is a growing concern. How does Skillsoft ensure that CAISY mitigates biases in training data and maintains ethical AI practices throughout its operation?

Ethical use of AI is a fundamental principle for everything we build. We’ve developed a system of guardrails and test methodologies to ensure that these conversations are unbiased, safe, and relevant for learners. These guardrails ensure that any deviations within the conversations that are found to be unsafe, biased or unethical are immediately stopped.

Given your expertise, could you shed light on the ethical considerations you personally emphasize when working with AI and technology in education?

Generative AI is here to stay and will continue to evolve at a rapid pace over the next few years. I anticipate Gen AI becoming a necessary tool for future productivity needs, like how email and Excel emerged as critical parts of our daily work lives. Just as GenAI itself will become necessary in the future of work, so too is the need for AI ethics at the organizational and individual level. Organizations that incorporate AI ethics into their corporate DNA – via how they build products and educate their employees – will be most successful.  

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