DeveloperWeek 2025: Full Schedule

3:00pm PST

OPEN Session: Beyond Vectors: Evolving GenAI through Transformative Tools and Methods

Wednesday February 12, 2025 3:00pm - 3:25pm PST

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

Embark on a thought-provoking exploration of GenAI's evolution with "Beyond Vectors: Evolving GenAI through Transformative Tools and Methods." Tailored for engineers seeking fresh perspectives, this session encourages practitioners to step beyond familiar Vector Database practices. It's not just a departure; it's a pragmatic leap forward into precision methodologies for data quality and crafting datasets essential for Retrieval-Augmented Generation (RAG) excellence. We'll navigate the complexities of adding non-semantic context through graph databases, shedding light on the nuanced limitations of distance metrics like Cosine Similarity. Join us for this insightful journey, pushing the boundaries of GenAI evolution with transformative tools and methods.

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 →

Wednesday February 12, 2025 3:00pm - 3:25pm PST
AI DevWorld OPEN Stage

AI DevWorld

Tracks & Topics Gen AI / LLMs, AI & ML Certificate, Data Management and Engineering Certificate
Session Type OPEN Session
Conferences AI DevWorld, OPEN Session, Data Science & Predictive Models (AI DevWorld)
In-Person/Virtual In Person

1:00pm PST

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

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

AI DevWorld MAIN STAGE

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