Ethically Sourced Creativity: Shutterstock's Alessandra Sala

Topics covered
Popular Clips
Questions from this episode
- Asked by 175 people
- Asked by 136 people
- Asked by 119 people
- Asked by 106 people
- Asked by 84 people
- Asked by 47 people
- Asked by 7 people
Episode Highlights
Ethical Frameworks
Alessandra Sala, senior director of data science and AI at Shutterstock, emphasizes the company's commitment to ethical AI practices. She highlights the development of a trust framework with five pillars, focusing on ethically sourced training data and royalty compensation for contributors. This approach not only aligns with ethical standards but also provides a strategic advantage, as Sala notes, "We have been the first in our space to launch ethically sourced data in our trust frameworks that underpins an ethically safe product." 1 2 The framework has set a precedent for other companies in the industry, showcasing the importance of integrating ethical considerations into AI development.
Compensation Models
Shutterstock's compensation model for contributors is both innovative and complex. Sala explains that the company shares revenue with contributors whose assets are used to train AI models, ensuring fair compensation based on the volume and uniqueness of their contributions. She acknowledges the challenges in attribution, stating, "Attribution is very hard. And at the beginning we didn't even know." 3 4 This model not only supports contributors financially but also enhances the quality and diversity of Shutterstock's creative library, which is crucial for training robust AI models.
AI Standards
In the realm of AI industry standards, Sala discusses Shutterstock's role in promoting safe and ethical AI practices. The company has amassed a vast collection of creative assets, all reviewed for quality and compliance, setting a benchmark for ethical data sourcing. Sala argues against models based solely on popularity, emphasizing the value of diverse and high-quality content: "We should be able to distribute wealth to everyone, to those that gives us content of quality." 5 6 This commitment to quality and diversity not only strengthens Shutterstock's position in the market but also contributes to the development of more reliable AI models.
Related Episodes


Images and Inspiration With AI: Pinterest’s Jeremy King
Answers 383 questions

Trust and Fraud Detection at Scale: Instagram’s Stephanie Moyerman
Answers 383 questions

Continuous Learning With AI: Aflac’s Shelia Anderson
Answers 383 questions

The Beauty of AI: Estée Lauder's Sowmya Gottipati
Answers 383 questions

Bonus Episode: Lessons From Jobs in the Age of AI
Answers 383 questions

Entrepreneurial AI in the Enterprise: LG Nova's Shilpa Prasad
Answers 383 questions

Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay
Answers 383 questions

Meet Your New Teammate, AI: Asana’s Saket Srivastava
Answers 383 questions

Marketing With Generative AI: Harvard Business School’s Ayelet Israeli
Answers 383 questions

Authoring Creativity With AI: Researcher Patrick Hebron
Answers 383 questions
Fashion Forecasting: Arti Zeighami on Implementing AI at H&M Group
Answers 383 questions

Bonus Episode: Generative AI Trends for 2024 With Tom Davenport
Answers 383 questions

Solving Real User Problems With Generative AI: Slack’s Jackie Rocca
Answers 383 questions

The Risks of Too Much AI: Fortune’s Jeremy Kahn
Answers 383 questions








