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Introducing our AI principles

By Anna Wang

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Contents

  1. The Multiverse AI Principles

Use of Artificial Intelligence at Multiverse

Artificial Intelligence is transforming the world of learning. The burning need for companies and societies to increase productivity and generate new growth through additional AI capabilities, and the skills to deploy them, is the discussion heard from boardrooms to watercoolers across all industries.

At Multiverse, we believe that AI isn’t just the cause of new skills requirements, it’s also the solution.

AI makes personalized, always-on coaching available at scale. It can assist in tailoring learning materials so that individuals get the education they need to achieve their individual goals. It can reduce burdens on educators by supporting on non-core tasks, so they spend more time supporting learners.

So we have put AI at the heart of what Multiverse does for employers and learners. Whether that’s our AI-driven skills diagnosis that translates business goals into personalised learning pathways for individuals, or Atlas, our always-on coach, that works with our expert human coaches to accelerate equitable outcomes for our learners.

Now it’s time to share the principles for the Multiverse approach to AI. We’re choosing now for two reasons:

  • The future of Multiverse involves more AI, not less. Given the success of our initial investments in AI, we’re confident that the next phase of Multiverse will involve additional integrations of AI solutions into what we do. Clear principles help guide our teams as they experiment, build and deploy.
  • Transparency for our users. AI adoption will be more successful if its users understand the fundamental motivations behind it.

The Multiverse AI Principles

The following principles outline how we’re thinking about the way we build with AI, now and in the future.

AI first

Our AI features are increasingly core to our product offering. We will continue to build with AI as a fundamental driver of how we deliver an outstanding learning experience, woven into the fundamentals. It is not simply a supplement to the experience or just an enabler of things we’d otherwise want to build.

Contextualised

Our AI solutions are contextualised to our customers and our users. Personalization sits at the heart of being able to educate at scale, and this is a key benefit of leveraging AI.

Fair and non-discriminatory

Our mission has equitable access at its heart, and AI at Multiverse will be no different. When we deploy AI solutions for learning environments we seek to do so with fairness and in a non-discriminatory manner. We firmly believe that it is necessary for AI to neither create nor reinforce bias.

Consequential

At Multiverse we believe the principle value of learning is in the real world application of skills, and the tangible consequences of that application. The same is true of our approach to AI. We will only incorporate AI systems in our products when we have a deep conviction that they will drive real world value. Our AI should be a tool, not a toy.

Transparent

We want our AI systems to be explainable, to foster confidence in their outcomes for both Multiverse and our learners. When we deploy AI, we will ensure it is underpinned by a robust understanding of the logical steps and rationale behind its decisions, including its capabilities and limitations.

Human in the loop

Multiverse AI will always be built and run with the careful guidance of Multiverse people - for feedback, direction and fairness. We want AI to complement and enhance the expertise of our coaches, tech talent and customer support teams, not replace it. This commitment ensures that AI complements human judgment rather than replacing it, allowing us to harness the best of both worlds.

How Multiverse uses these guidelines

Our principles are core to how we are building AI systems at Multiverse, but they are not intended to be static; they will evolve as our understanding of AI and its impact on learning grows. We are dedicated to continuously evaluating our AI implementations and training methods to ensure they remain aligned with company values and ethical responsibilities, as well as our compliance and legal obligations.

These principles have been inspired by input from both our AI Advisory Board, and the Multiverse Customer Advisory Board. As a result, we may update our principles in line with updated inputs.

The end goal: empowering learning and growth

Ultimately, our AI principles are about more than compliance; they are about fostering a culture of learning and growth for our team, for the benefit of our customers and learners. We see AI as a powerful ally in personal and professional development. By embedding these principles into every aspect of our AI strategy, we aim to create a learning ecosystem that not only prepares individuals for the future, but also contributes to society.

At Multiverse, our commitment to the principled use of AI is coupled with our core mission: to create equitable access to economic opportunity, for everyone. As we move forward, our partners are with us on the journey.

Anna Wang

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