DeveloperWeek 2025: Full Schedule

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1:00pm PST

PRO Session: Pattern Rights - An Ethical Framework for Generative AI Training Data

Thursday February 13, 2025 1:00pm - 1:25pm PST

Alison Cossette, Neo4j, Data Science Strategist, Advocate, Educator

As generative AI continues to push boundaries, creating novel content by learning from massive datasets, we are faced with complex issues around intellectual property, privacy, and the ethical use of data. Current systems of copyright, fair use, and data protection lack the scope to fully address the unique challenges posed by AI pattern recognition and generation.

This pivotal talk introduces the pioneering concept of "Pattern Rights" - a holistic ethical framework to inform the development and deployment of generative AI technologies. Pattern Rights serves as an umbrella construct, encompassing principles of copyright, fair use, training data transparency, privacy, data ownership, and accountability.

We will explore how Pattern Rights can ensure appropriate attribution and compensation when AI models learn from copyrighted works or personal data. It establishes guidelines around consent, anonymization, and ethical data sourcing practices.

As the AI industry is rapidly evolving, we urgently need governance to foster innovation while upholding rights and safeguarding against misuse. Pattern Rights provides a roadmap to navigate this uncharted territory responsibly and equitably.

Speakers

Alison Cossette

Data Science Strategist, Neo4j

Alison Cossette is a dynamic Data Science Strategist, Educator, and Podcast Host. As a Developer Advocate at Neo4j specializing in Graph Data Science, she brings a wealth of expertise to the field. With her strong technical background and exceptional communication skills, Alison bridges... Read More →

Thursday February 13, 2025 1:00pm - 1:25pm PST
AI DevWorld MAIN STAGE

AI DevWorld

Tracks & Topics AI & ML Certificate
Session Type PRO Session
Conferences AI DevWorld, AI DevWorld: AI Strategy Conference, AI Security & Governance & Compliance (AI DevWorld), AI Ethics (AI DevWorld), Data Science & Predictive Models (AI DevWorld)
In-Person/Virtual In Person