Designing for AI means designing for a human-machine relationship that is in flux. This is in contrast to non-AI design where the relationship is static.
While with non-AI machines, the interactions do not change, with AI machines, the interactions evolve over time. The machine is learning, and therefore, changing. In parallel, the human is learning, and therefore, changing. This co-learning creates a dynamic feedback loop — human and machine trading information back and forth, learning as they go. Creating the conditions for good communication, in this dynamic human-machine relationship, is the formidable task of the AI designer.
An AI designer, they write, should have proficiency in the following five skills:
- Technical: Understanding data science and AI terminology and techniques
- Ethical: Facilitating ethical decision making
- Collaboration: Collaborating in whole-team AI development and delivery
- Strategy: Defining AI strategy
- Interactions: Designing for AI interactions