How can you work with AI as an HCI professional?

1 Understand AI concepts and capabilities

The first step to work with AI as an HCI professional is to understand the basic concepts and capabilities of AI, such as machine learning, natural language processing, computer vision, and recommender systems. You don't need to be an expert in coding or algorithms, but you should be familiar with the strengths and limitations of different AI techniques, and how they can be applied to various domains and scenarios. You should also be aware of the ethical and social implications of AI, such as bias, privacy, accountability, and transparency.

4 Design for AI transparency and explainability

The fourth step to work with AI as an HCI professional is to design for AI transparency and explainability, which means making the AI system's logic, processes, outcomes, and actions understandable and accessible to the user. This is important for building user trust, confidence, and engagement with AI systems, as well as for ensuring user control, accountability, and responsibility. You should be able to design appropriate and effective ways of providing AI transparency and explainability, such as visualizations, summaries, examples, analogies, and metaphors.

5 Design for AI adaptability and personalization

The fifth step to work with AI as an HCI professional is to design for AI adaptability and personalization, which means making the AI system's behavior and output responsive and relevant to the user's needs, preferences, goals, and context. This is important for enhancing user satisfaction, convenience, and efficiency with AI systems, as well as for fostering user loyalty, retention, and recommendation. You should be able to design flexible and customizable ways of enabling AI adaptability and personalization, such as user profiles, preferences, feedback, and settings.

6 Design for AI ethics and values

The sixth and final step to work with AI as an HCI professional is to design for AI ethics and values, which means making the AI system's decisions and actions consistent and compatible with the user's morals, norms, and expectations. This is important for ensuring user dignity, autonomy, fairness, and safety with AI systems, as well as for avoiding user harm, discrimination, manipulation, and exploitation. You should be able to design ethical and value-sensitive ways of incorporating AI ethics and values, such as codes of conduct, guidelines, principles, policies, and regulations.

7 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?