In order to harness the true power of artificial intelligence (AI), humans and machines must be able to communicate with one another. Human centered AI, which learns from human input— including decisions, emotions, and language—makes it easier for even “non-expert” users to communicate with AI-powered tools. When AI learns from human behavior, it comes closer to capturing what we may call common sense or a gut feeling.
It’s these aspects of human centered machine learning that make it particularly interesting to research and development teams. Organizations using AI while upholding ethics and investing in relevant training for employees are able to streamline the communication between human and machine team members. In doing so, they’re giving themselves the ability to benefit from the power of AI in R&D applications.
Enhancing R&D with Artificial Intelligence
As AI professional and educator Fei-Fei Li, Ph.D. puts it, “AI should strive to augment and enhance us, not replace us.” Not all human skills necessary for innovation can be replicated by machine learning. Critical thinking, creativity, and experience all influence a research scientist or product engineer’s ability to develop novel technologies.
However, human-centered AI can take on tasks that people don’t excel at, including “protecting against human error, fatigue and distraction.” Ensuring AI is a valuable member of an R&D team requires ethical management and strategic communication between team members. When properly managed, AI can align business functions, speed up the innovation cycle, and reduce the cost of research and development.
Technology and Competitor Insights
In order to create novel inventions, an R&D team must have a clear understanding of the technologies that already exist within their field. It is equally important to identify white space that complements existing offerings. Combing through relevant prior art manually is both time-consuming and prone to human error. Patent search engines with humanistic natural language processing can significantly reduce the resources required for a thorough search of the technology and competitive landscapes. IP.com’s InnovationQ® allows researchers to find relevant data and uncover valuable insights quickly.
Human-centered AI can utilize insights from past patterns to make valuable predictions about human behavior and needs. Forecasting customer demands, competitors’ strategies, patentability, return on investment, and other insights allows R&D teams, and businesses as a whole, to strategically allocate their resources.
Automated Decision Making
The ability to make decisions based on relevant data and strategic insights is powerful. AI, when trained on responsible data and monitored with ethics in mind, can make more informed decisions than humans alone. Machine learning can take into account much larger sets of data than managers, scientists, or engineers could ever process. AI allows for much faster decision making as well. Together, these benefits allow human-centered AI to find optimal solutions for complex problems.