Would you trust the algorithm?A bad decision in an industrial context can have serious consequences. So when a senior engineer disagrees with a recommendation from an advanced AI system, how will organizations decide? To what extent will organizations trust AI to control critical systems? To understand the attitudes, benefits and barriers to implementing AI, Siemens partnered with Longitude Research to survey over 500 senior executives from energy, heavy industry, infrastructure and transportation. Their responses offer a unique insight into the future of industrial AI.
The research explores five factors driving next-gen industrial AI
- Artificial understanding:
AI’s ability to integrate data and use contextual data will lead to powerful use cases.
- AI everywhere:
The Internet of Things, edge computing and embedded intelligence will drive greater predictive power, more autonomous machines and richer simulations.
- Smart data exchanges:
Next-gen AI breakthroughs will depend on organizations sharing data. Who will share with whom?
- Human-AI collaboration:
As AI evolves from tools to colleagues, what happens when humans and AI disagree?
- Managing AI safety concerns:
Our machines, vehicles, and equipment are becoming autonomous. How can we trust AI and ensure that it makes safe decisions?