Ovetta Sampson, Director of UX for AI compute enablement at Google, has a rich background in journalism that informs her approach to AI. She discusses the critical role of human-centered design in developing accessible AI products. Ovetta emphasizes the ethical implications of AI, advocating for responsible technology that prioritizes human needs. She shares insights on integrating creativity with technology and the necessity of fostering AI literacy in society, particularly among younger generations, to harness technology for the greater good.

Douglas Edric Stanley, an artist delving into AI applications in art, and Anthony Masure, dean at Geneva University of Art and Design, explore the intertwining of technology and creativity. They discuss the impact of AI on artistic expression and the critical role of context in understanding art. Concerns about job displacement and copyright in the creative fields are addressed, along with the necessity of critical thinking in navigating technology. Their conversation emphasizes AI as a collaborative tool, enriching rather than replacing traditional artistry.

Dr. Oliver Aalami, a Clinical Associate Professor at Stanford and director of the Biodesign for Digital Health program, dives into the exciting realm of digital health innovation. He shares insights from his medical journey and the importance of integrating technology with patient care. Discover the groundbreaking Spezi framework for improving mobile health research and learn how AI is reshaping patient engagement. Aalami emphasizes the need for interdisciplinary collaboration to tackle healthcare challenges and enhance patient experiences.

Join bestselling author Steven Johnson and Senior Product Manager Raiza Martin as they explore the groundbreaking NotebookLM and its potential to revolutionize creativity. They discuss Johnson's journey from writing to technology, the evolution of AI, and how NotebookLM personalizes user experiences. The conversation dives into the synergy between creativity and technology, addressing concerns writers face while embracing AI as a collaborative partner in the workplace. Tune in for insights on transforming how we create and learn in the digital age!

Join People of AI host Ashley Oldacre as she moderates a panel on Responsible AI at DevFest Silicon Valley. Ashley teams up with four industry experts to discuss their personal journeys in technology and explore the future of AI. Learn how these experts keep responsible AI at the forefront of emerging technologies. Resources: Learn more about the amazing panelists:  Jigyasa Grover, Lead, AI & Research at Bordo AI → https://goo.gle/3Z42QJb    Deepa Subramanian, Google Developer Expert → https://goo.gle/3AE5P1v  Daniel Goncharov, AI Research Engineer, Stanford University School of Medicine → https://goo.gle/40M2hF4  Vikram Tiwari, Lead ML Engineer, Assembled → https://goo.gle/4eJB3m1

Meet Fergus Hurley and Nia Castelly, co-funders of Checks, Google's AI-powered compliance platform. Fergus Hurley, Product Management Director at Google Cloud in addition to General Manager and Co-founder of Checks, and Nia Castelly, Co-Founder and Head of Legal at Checks, share the inner workings of Checks. Discover how they built Checks initially leveraging natural language processing (NLP) and, now Gemini, to review and analyze privacy policies at scale. Learn about their three-step approach that can detect what an app says it does, how they test apps to see what’s going on, AI safety measures, Android vitals, and much more in this episode of People of AI. Resources: Checks → https://goo.gle/4ejR81h Code compliance → https://goo.gle/3YGOH30 Blog: Checks, Google’s AI-powered privacy platform → https://goo.gle/4fszoSu   The new new thing → https://goo.gle/3ChItPK  GDPR → https://goo.gle/3NVO0hg  Android Vitals → https://goo.gle/3YTs9xu  The Singularity is Near → https://goo.gle/4fzcMQ5

Join Sam Sepah, AI/ML Research Manager at Google focused on accessibility, and Thad Starner, a Georgia Tech Professor and wearable computing pioneer, as they discuss groundbreaking advancements in sign language recognition. They dive into the transformative impact of AI on communication for the deaf community. Highlights include the innovative PopSign AI game for learning sign language and the collaboration on the Google Glass project to improve accessibility. The importance of cultural nuances in sign language and fostering inclusive environments is also explored.

Join host Ashley Oldacre and guest Sachin Kotwani, Google’s On-Device ML Lead for a second special Google I/O episode. This interview dives deep into the world of Edge AI. Learn about the value, advantages and the future of on-device AI, and how it’s already making waves through initiatives like Project Game Face, and much more. Resources: Andrew Ng’s DeepLearning.AI  course → https://goo.gle/3xS1Z3j  ML Kit → https://goo.gle/3XIwqne  Sachin on Google AI Edge at Google I/O → https://goo.gle/3VMC3hE  Google AI Edge website → https://goo.gle/3xuSmHW  Project Gameface → https://goo.gle/4cBeLlE   AI Edge Torch → https://goo.gle/3XMsule  LLM On-Device with MediaPipe and TensorFlow Lite → https://goo.gle/3La0KQa Model Explorer → https://goo.gle/3RRqapE   

Join host Ashley Oldacre and guests Mat Velloso, VP of ML developer products at Google, and Logan Kilpatrick, Product Lead for Google AI, for a special episode on the latest on AI, recorded right from Google I/O. Resources: Top AI developer news from Google IO 2024 → https://goo.gle/3VZhwry Google I/O 2024 recap → https://goo.gle/3RL8Pyi Project Astr →: https://goo.gle/3W2rloI Google AI Studio → https://goo.gle/4eCP6e5 Colab → https://goo.gle/3VJ421P Kaggle → https://goo.gle/3RKKZ65 Anders Hejlsberg → https://goo.gle/3VYolcE The Culture Code by Daniel Coyle → https://goo.gle/45IWbWh Jaron Lanier → https://goo.gle/3xpjW9r Range by David Epstein → https://goo.gle/45J3zkP  Games: Flappy Bird Game → https://goo.gle/4bqTcD7 

Join François Chollet, Creator of Keras, as he discusses creating Keras 3, integrating it with Gemma and Kaggle, artificial general intelligence, and the limitations of large language models in achieving human-level AI.