For AI to be successful, we, as humans, must be a part of the process. To scale AI requires a different approach to decision making than other technologies you may be used to. This is not “set it and forget it” technology, it requires people and processes. That’s why ourdesign thinking and human-centered approach to AI design and development addresses these decisions every step of the way by:
- Preventing wheel spinning AI research, getting you on to the doing; there are huge competitive advantages to AI
- Providing the design for AI solutions that address fairness, privacy, explainability, and transparency
- Proactively considering the unintended consequences and implications an algorithm will have on your audience and the world
- Finding the balance between human creativity and AI enabled automation
AI is Iterative
When piloting an AI design, you can expect the unexpected. Even with the best statistical proof, things will go wrong or may even pleasantly surprise you. You have to be willing to go along for the ride knowing that AI is an iterative process. It is important to keep stakeholders and end users informed during the process to create comfort, and ultimately, buy-in.