Navigating the Ethical Frontier: Unraveling the Significance and Challenges of Responsible AI Data Synthesis

In this session, we’ll explore why responsible AI data is crucial for building ethical AI applications and the hurdles we face in getting our hands on this scarce resource. Join us as we discuss real-life examples that highlight the impact of using data responsibly. Discover the challenges in finding diverse and high-quality data and the complexities of creating artificial data that meets ethical standards. We’ll wrap up with practical insights, leaving you equipped to navigate the ethical landscape of AI data, ensuring your applications are both cutting-edge and responsible.

About the speaker
Amy-Heineike

Amani Namboori

Applied Scientist at Amazon

Amani is an experienced scientist specializing in Machine Learning and Natural Language Processing (NLP). Currently, she is working as an Applied Scientist at Alexa, Amazon, where she plays an instrumental role in developing cutting-edge Generative AI solutions within the Quality domain. Amani’s primary focus is to tailor Alexa’s capabilities, ensuring a customer-centric and customized experience for international markets. She is an active researcher in NLP; her passion for advancing the field is evident in her active engagement with the latest trends and technologies.

NLP-Summit

When

Online Event: April 2-3, 2024

 

Contact

nlpsummit@johnsnowlabs.com

Presented by

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