Summary
The article discusses how trust is essential for businesses to effectively use artificial intelligence (AI). It highlights different ways trust is understood in various industries and emphasizes its importance in dealing AI-based decisions and actions.
Key Facts
- AI's value in business is often hindered by slow adoption and implementation.
- Trust is crucial for AI, as it affects how quickly businesses adopt these technologies.
- In financial services, trust involves ensuring transactions and data are secure.
- Consumer goods industries focus on trust related to product quality and safety.
- AI changes how trust is built because AI decisions are made without direct human input.
- Businesses face challenges in getting people to trust AI-generated decisions and outputs.
- DeepMind, an AI research organization, emphasizes responsible AI development.
- DeepMind has made significant contributions to AI, like the AlphaFold models for protein folding.
