In this episode of Human Factors Tech, Jared Degnan delves into the nuanced intersections of authenticity, community engagement, and governance within our AI-driven world. From insights gathered during Atlanta Tech Week to expert discussions around AI ethics, content innovation, and transformative tech, Jared and his guests unpack how human-centric principles can guide us through rapid technological advancement.

Discover why authenticity remains the cornerstone of meaningful digital experiences, how governance structures must evolve to keep AI ethical, and the ways community engagement fuels sustainable innovation. Featuring voices from the Hidden Genius Project and thought leaders shaping the future of content creation, this conversation explores how real-world experiences are crucial to designing technology that aligns with human values.

In this episode of Human Factors Tech, Jared Degnan delves into the nuanced intersections of authenticity, community engagement, and governance within our AI-driven world. From insights gathered during Atlanta Tech Week to expert discussions around AI ethics, content innovation, and transformative tech, Jared and his guests unpack how human-centric principles can guide us through rapid technological advancement.

Discover why authenticity remains the cornerstone of meaningful digital experiences, how governance structures must evolve to keep AI ethical, and the ways community engagement fuels sustainable innovation. Featuring voices from the Hidden Genius Project and thought leaders shaping the future of content creation, this conversation explores how real-world experiences are crucial to designing technology that aligns with human values.

Episode Highlights:

Why authenticity is essential in an age where AI will soon generate 90% of digital content.

The urgent need for governance frameworks guiding responsible AI practices.

Real-world stories from Atlanta Tech Week, emphasizing the power of community-driven innovation.

How the Hidden Genius Project is empowering Black youth through mentorship in technology.

Join Jared in exploring the human dimensions of tech evolution, and learn actionable insights to apply within your own tech leadership and innovation journey.

Chapters

00:00 - Introduction to Synthetic and Augmented Data

03:18 - Understanding Augmented Data

06:35 - Exploring Synthetic Data

09:18 - Applications of Augmented Data

12:08 - The Intersection of Data and Personalization

15:15 - Conclusion and Future Implications

Personalization at scale takes data - and a lot of it. In this episode we explore types of data that can can be “home grown” to help create ever more powerful and personalized experiences. In particular we dive into the concepts of synthetic and augmented data and their implications for technology and human experience.

Resources

AWS’ Guide To Data Augmentation - https://aws.amazon.com/what-is/data-augmentation/

Synthetic Data Generation using LLM: Crash Course for Beginners - https://youtu.be/hMjtdECXlYo?si=AHLaad4fj13VlG2N

Synthetic Data and the Future of AI - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4722162

Personalization Done Right (Spotify Case Study) - https://hbr.org/2024/11/personalization-done-right

Takeaways

Synthetic data mimics statistical properties of real data.

Augmented data enriches existing data sets for better insights.

Context is crucial when utilizing data for decision-making.

Collaboration with data scientists enhances data utilization.

Synthetic data allows for scaling and running simulations.

Augmented data can personalize experiences across various industries.

Data limitations can hinder effective personalization efforts.

Elasticity testing can benefit from larger synthetic data sets.

Understanding different data types is essential for professionals.

The implications of data types extend to healthcare and user experience.

Chapters

00:00 - Introduction to Synthetic and Augmented Data

03:18 - Understanding Augmented Data

06:35 - Exploring Synthetic Data

09:18 - Applications of Augmented Data

12:08 - The Intersection of Data and Personalization

15:15 - Conclusion and Future Implications