Artificial Intelligence (AI) is often seen as a highly relevant topic for tech innovation. But how can we design AI solutions that are ethical, unbiased, and solve an actual customer problem? This is what made Ioannis Zempekakis, Head of Global Data Science & AI services at OLX Group, and Serena Westra, a Senior Service Design Consultant at Koos Service Design, join forces. Based on their experiences designing, developing, and managing AI, they have summarised their key insights in this white paper.
AI-by-Design is a human-centred approach to innovating with AI and Machine Learning (ML).
By embracing a human-centred approach, organisations can unlock new potential for designing ethical AI solutions with a higher customer-solution fit. In the white paper, we introduce the AI-by-Design framework, that helps teams become more human-centric in their innovation process. We combined the Design Council’s Double Diamond with the data science Crisp-DM tool and added two extra steps of our own to formulate 6 steps.
The first step aims at building an understanding of the goal of the project, the customer needs and their problems, as well as business opportunities. It usually involves customer research.
In the second step, the team defines the challenge scope; they select a problem to solve, or an opportunity to pursue. This step includes researching the context and AI possibilities.
3. AI-by-Design decision
Here teams are encouraged to ask themselves if this is a problem that can and should be solved with AI? If yes, assess which data is needed, and research if the solution might have unethical consequences. If no and AI is not the right solution, this is also a great outcome. AI is expensive and time-consuming. If other alternatives can solve the problem, then that should be the first approach.
Why should you read the white paper?