We are in the era of artificial intelligence (AI). Our everyday life is significantly shaped by innovative technologies and intelligent systems. From personalized recommendations to autonomous driving vehicles – AI permeates almost all areas of our everyday life. Artificial intelligence promises enormous potential for our society and economy. But despite the fascination with these advanced possibilities, uncertainties also accompany us in the face of high complexity. The combination of excitement and uncertainty has motivated us to embrace our role as enablers of new technologies and facilitators of sustainable developments in the field of data science and machine learning. We want to encourage everyone to learn about this technology, try it out for themselves, and develop a basic understanding of how it works. We know that AI can help us and our customers create more efficient and effective processes, products and services.
Here, we explain how we use a proprietary AI framework to ensure that artificial intelligence is implemented on demand and with accountability.
Our world is becoming increasingly complex due to AI systems. Designers therefore play a crucial role: they act as intermediaries between business goals, technological innovation and the needs of all people. While technology provides the foundation for innovative solutions, our design teams bring the essential human element. This is how we ensure that AI applications are effective and user-friendly.
Understanding human needs, behaviors, and emotions allows us in and with design to develop AI solutions that address real problems. The designs developed help users instead of serving short-lived trends. Designers integrate ethical principles: Fairness, transparency, and data and privacy protection. To ensure sustainable and positive impact, designers ensure that AI systems are developed responsibly.
Information technology plays a fundamental role in the development of AI solutions: for the development of complex algorithms, the processing of data, and ensuring smooth functioning of AI systems, this role is indispensable. However, it is also apparent that IT often lacks direct proximity to customers or users. This is why the involvement of designers in the development of AI solutions is gaining crucial importance. Designers not only have an understanding of user requirements, they also develop creative approaches to solutions. The cooperation between design, IT and business opens up a holistic perspective that creates customer-oriented, technically sophisticated and economically viable solutions. Designers develop a vision, and the IT department then turns it into reality.
This close collaboration between different disciplines makes it possible to design AI solutions that are not only technically efficient, but also meet the needs and requirements of users. In the world of artificial intelligence, the user experience is becoming.
The AI Thinking Framework is an approach developed at denkwerk. It helps to build a cross-company understanding of AI and to enable a demand-oriented and critical use of AI.
The approach is based on the principle of design thinking, which places the needs and challenges of users at the center of developments. Approach is building shared understanding, exploration and ideation, prototyping and testing. In our AI Thinking Framework, these phases are called: Explore, Ideate, Create and build up as follows:
The Explore phase lays the foundation for a cross-company understanding of AI. Within a crash course, the basics of AI are taught. The course consists of different modules – impulse lecture, knowledge platform with resource pool and guidelines as well as exercises and team tasks – which can be orchestrated depending on the goal, group size and time frame. A critical and ethically responsible approach to AI is particularly important to us, so we convey the possibilities of AI, but also the limitations and risks. With the help of the built up AI understanding, a qualified exchange between different areas is enabled. After a broad overview of the AI ecosystem, relevant topics are focused. Thus, a first idea is gained for the own case of need.
The Ideate phase is similar to a design thinking workshop. In this phase, we encourage innovative, demand-driven thinking and multidisciplinary collaboration. Collaborative brainstorming sessions generate individual AI ideas based on identified user needs. The feedback from IT? Overcoming the usual limitations of technical thinking and premature assessments. The result in Ideation was the exploration of entirely new possibilities for AI applications. With the Ideate phase, the full potential of artificial intelligence is exploited. Output is numerous, customized ideas for AI solutions.
The Create phase focuses on developing a Proof of Concept (PoC) to quickly validate the ideas and make them tangible. A PoC makes it possible to test the feasibility of the ideas and evaluate the economic viability of the concept in a detailed cost-benefit analysis. With a successful PoC and an appropriate evaluation and presentation, no major obstacles stand in the way of implementing the idea.
The meaningful and innovative development of AI solutions requires coordinated interaction between different areas: IT, business and design. Designers play a key role here by linking the development process and exchange between individual departments and providing creative impetus. Close collaboration with IT experts and business specialists makes it possible to create AI solutions that are not only technically outstanding, but also ethically responsible and economically successful.
Let's shape the future together and develop AI solutions with real benefits. Solutions that enrich the lives of all people and advance society!