Shutterstock has introduced the TRUST framework to address ethical concerns in the stock media industry. The framework includes principles such as using correctly licensed data for training AI systems, fair compensation for creators, diversity and inclusion, customer safeguards, and transparency in labeling AI-generated content. Shutterstock’s commitment to responsible AI adoption sets an example for other companies in the industry.
Shutterstock Introduces TRUST: A Guiding Framework for Ethical AI and Customer Protection
In the fast-paced world of stock media, advanced systems can automatically create images and media, opening up exciting possibilities and raising concerns about copyright, representation, and misinformation. One major player in the industry, Shutterstock, has taken a step to address these issues by introducing the TRUST framework.
Addressing Copyright and Fair Compensation
Before TRUST, the stock media industry faced potential problems related to using unlicensed data for training AI systems. This raised questions about copyright infringement and fair compensation for creators. In response, Shutterstock has unveiled the TRUST framework, which outlines five critical ethical AI principles the company commits to follow.
Responsible AI Development
The “Training” principle ensures that only correctly licensed data is used to train AI systems, avoiding copyright-related problems and laying the foundation for responsible AI development. The “Royalties” principle emphasizes fair compensation for creators, with Shutterstock pledging to compensate artists through royalty funds for the use of their work in training AI models.
Promoting Diversity and Inclusion
The “Uplift” principle promotes diversity and inclusion in AI systems, ensuring that the generated content reflects a broad range of perspectives and avoids reinforcing biases in the training data.
Customer Safeguards and Transparency
The “Safeguards” principle protects customers by implementing measures to prevent problematic AI content. This includes human reviews of system outputs to identify and address potential issues. The “Transparency” principle mandates clear labeling of AI-generated work and supports provenance tracking, promoting transparency in using these technologies.
Additional Measures for Customer Protection
Shutterstock has introduced additional measures, including indemnification for copyright, trademark, and other potential risks associated with AI-generated content. This provides legal protection for customers who submit their AI-generated images for review, ensuring they receive the same level of support as traditionally licensed stock photos.
Practical AI Solutions for Your Company
If you want to evolve your company with AI and stay competitive, consider using Shutterstock’s TRUST framework as a guiding framework for ethical AI and customer protection. To get started, follow these steps:
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
For AI KPI management advice, connect with us at hello@itinai.com. And for continuous insights into leveraging AI, stay tuned on our Telegram channel or follow us on Twitter.
Spotlight on a Practical AI Solution: AI Sales Bot
Consider the AI Sales Bot from itinai.com/aisalesbot. It is designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com.
