How can you design engaging AI experiences?

AI is everywhere, from smart assistants to chatbots to recommender systems. But how can you create AI experiences that are not only functional, but also engaging, meaningful, and human-centric? In this article, you will learn some principles and practices for designing AI experiences that delight, inspire, and connect with your users.

1 Know your users

The first step in designing engaging AI experiences is to understand who your users are, what their goals, needs, and preferences are, and how they interact with your AI product or service. You can use various methods, such as user research, personas, scenarios, and user journeys, to empathize with your users and identify their pain points, expectations, and emotions. By knowing your users, you can tailor your AI experience to their context, behavior, and personality.

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Manju Devadas

Founder & CEO @ Pluto7 | Gen AI Platforms. Applied AI
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As a Pluto7 architect, I would design engaging AI experiences by following these principles: Start with the user. What are the user's goals? What are their pain points? What do they want to achieve? Once you understand the user, you can design an AI experience that meets their needs and expectations. Make it personal. AI can be used to personalize the user experience in many ways. For example, you can use AI to recommend products or services that the user is likely to be interested in, or you can use AI to generate content that is tailored to the user's individual preferences. Keep it simple. AI can be complex, but it's important to keep the user experience simple and easy to understand.

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2 Define your AI value proposition

The next step is to define what value your AI provides to your users, and how it differs from other solutions or alternatives. You can use a value proposition canvas to articulate how your AI solves a specific problem, meets a specific need, or creates a specific benefit for your users. You should also consider how your AI aligns with your brand identity, mission, and vision, and how it communicates your values and ethics to your users.

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Dr Djamila Amimer

Helping Businesses Unlock AI Potential | CEO & Founder | Top 10 Global Thought Leaders on AI, Predictive Analysis and Emerging Tech. | AI Speaker | AI Author| LinkedIn Top AI Voice
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Giving users the function/ option to be involved in the correction and training of the model is important. For example users can vote satisfied or unsatisfied with results or provide feedback on model functionality. Not only it allows for better engagement and involvement with users, it also help improve the model performance.

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3 Design for transparency and trust

One of the key challenges in designing AI experiences is to build trust and credibility with your users. You can do this by designing for transparency, which means explaining how your AI works, what data it uses, how it makes decisions, and what limitations it has. You can also design for feedback, which means providing clear and timely information, guidance, and support to your users, and allowing them to correct, control, or override your AI when needed. By designing for transparency and feedback, you can help your users understand, trust, and collaborate with your AI.

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Aldo Segnini

AI Adoption & Digital Transformation Expert | Empowering Businesses with Scalable AI Solutions | +25 Years Driving Data-Driven Innovation | Startup Advisor | Enabling AI as a Service (EaaS)
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To design engaging AI experiences, prioritize transparency and trust. Building trust with users involves explaining how your AI functions, the data it uses, its decision-making process, and its limitations. Provide clear and timely feedback, offering guidance and support to users and allowing them to have control over the AI when necessary. Designing for transparency and feedback helps users understand, trust, and collaborate effectively with your AI, fostering a more engaging and meaningful experience.

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4 Design for engagement and emotion

Another challenge in designing AI experiences is to create a connection and rapport with your users. You can do this by designing for engagement, which means making your AI interactive, responsive, and adaptive to your users' inputs, actions, and contexts. You can also design for emotion, which means making your AI expressive, empathetic, and personality-driven, and using elements such as voice, tone, language, humor, and emotion recognition to create a human-like and relatable AI experience.

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5 Design for ethics and responsibility

The final step in designing engaging AI experiences is to consider the ethical and social implications of your AI, and how it affects your users and society at large. You can do this by designing for ethics, which means following principles and guidelines that ensure your AI is fair, accountable, and respectful of human rights and values. You can also design for responsibility, which means anticipating and mitigating the potential risks, harms, and biases of your AI, and ensuring that you have the consent, privacy, and security of your users and their data.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Muthu Krishnan

Senior Partner | Sustainable AI | Private Equity | Gen AI | Insurance | Value Creation | AI Ops | Experience Intelligence
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Designing experiences should blend AI and Humans in a mutualistic manner. I call this Symbiotic AI. This should be a key consideration. How do we design an AI Operating Model that brings in the best of experiences, cost efficiencies, sustainability and ethics.

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Damon Clifford

Data 📊 Analytics 📈 AI 🤖 Technology 💻 | I Help Companies Generate Revenue and Automate Workflows
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You want an AI experience to be memorable and resonate with the end user. The technology allows for extreme personalization, which can be enhanced using gamification strategies to increase usage. A large part of this will be the method the AI experience is visualized. The more eye-appealing it is, the higher the likelihood users will engage and appreciative the experience.

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How can you design engaging AI experiences?

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3

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1 Know your users

2 Define your AI value proposition

3 Design for transparency and trust

4 Design for engagement and emotion

5 Design for ethics and responsibility

6 Here’s what else to consider

Artificial Intelligence

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How can you design engaging AI experiences?

1

2

3

4

5

6

1 Know your users

2 Define your AI value proposition

3 Design for transparency and trust

4 Design for engagement and emotion

5 Design for ethics and responsibility

6 Here’s what else to consider

Artificial Intelligence

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