AI in SketchUp

Trimble's AI activities are guided by principles that emphasize responsible usage, transparency, and the pivotal role of human creativity. These principles include:

1. Responsible AI: Commitment to transparent development, deployment, and use, striving to provide clear overviews of how AI technologies are designed so users can understand and trust the outcomes.

2. Privacy and Data Protection: Maintaining trust through transparency in data collection and usage, respecting confidentiality, complying with applicable regulations, and ensuring customer data is used only in accordance with the privacy policy and end-user terms.

3. Fairness and Equity: Dedication to ensuring fairness and equity in design and deployment, stress-testing solutions against industry guidelines, and deploying improvements to drive a positive societal impact.

4. Accountability and Safety: Striving for accountability by routinely monitoring and evaluating system performance and safety, and promptly and transparently addressing potential risks or issues. This includes monitoring new or changing AI-related laws (such as the EU AI Act or proposed US AI Bill of Rights) and frameworks (such as the NIST AI Risk Management Framework).

5. Human-Centric Approach: Aiming to enhance human capabilities through AI-driven analytics and automation while keeping human values and expertise at the forefront. Humans remain ultimately responsible for all decisions, actions, and output.

6. Engagement in Continuous Learning and Improvement: Dedication to remaining at the forefront of the evolving AI field by proactively investing in research, fostering collaboration, and continuously enhancing technologies and practices while considering ethical and legal implications.