GenAI Connect: The Humanization of AI
Thu, Oct 10
|New York
Join us at "The Humanization of AI," tp to explore the intriguing balance between AI’s technological advances and the ethical challenges they bring
Time & Location
Oct 10, 2024, 5:00 PM – 8:00 PM
New York, 55 Water St Floor 29, New York, NY 10041, USA
About the Event
This fall, the Generative AI Network presents an engaging series, "The Humanization of AI," set to explore the intriguing balance between AI’s technological advances and the ethical challenges they bring. The impact on customer experience, patient experience and the global mental health crisis will be monumental. With that said, as with all advancements in AI, there are many questions and concerns. We will be addressing the opportunities, the challenges, and the new future that awaits us all as AI becomes not only more intelligent, but more empathic and yes, more human-like.
We’re tackling the questions on everyone’s mind:
"What does the humanization of AI mean for enterprises?"
"How can AI that mimics human behavior transform customer service?"
"What risks does human-like AI pose to customers, and how can businesses safeguard against these risks?"
"Can AI truly understand human emotions, and where should we draw the line in its capabilities?"
"What ethical considerations arise from AI that can make autonomous decisions?"
"What does it mean to be human in the age of empathetic AI?"
“What does this all mean for the enterprise, startups, non-profits and government organizations?”
Why Attend?
- Insightful Debates and Discussions: Engage with thought leaders who will dissect the impact of empathetic and agentic AI on various sectors.
- For Enterprises: Gain insights into emerging AI technologies that could revolutionize your operations and strategies. Connect with innovators and explore how the next wave of AI can be integrated into your business processes.
- For AI Companies and Startups: This is your arena to showcase how your business is leveraging AI, providing practical and ethical solutions.
Event Details:
Panel Discussion and Networking (5-7 PM) Our panel discussions will feature AI experts who are at the helm of developing and deploying agentic and empathic AI technologies. These sessions provide a platform for enterprise leaders to discover innovative AI applications that are shaping their sectors. The networking segment offers a chance to engage with thought leaders and peers in a dynamic exchange of ideas.
Launch Party (7-8 PM) The conversation continues into the evening with a launch party for our new stealth AI startup. This part of the event allows you to relax, network, and potentially discover collaborations and opportunities in an informal setting.
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About the Panelists:
Frank Casale, Co-Founder of stealth venture to be announced, is a globally recognized futurist, thought leader and marketing expert with a vast network in emerging tech and AI. He founded The Institute of Robotic Process Automation and Artificial Intelligence, Outsourcing Institute, and Generative AI Network, offering insights and networking. Known for his skills as a relationship builder, dealmaker, and advisor, Frank has been featured on CNN, CNBC, NY Times, and Fortune Magazine.
Frank Yu, Co-Founder of stealth venture to be announced, is an accomplished AI agent entrepreneur and former US Military Intelligence officer with a background in Microsoft Research, Xbox, and a startup acquired by Tencent. As a Harvard alumnus and game development expert, he co-founded Ghostdog Systems, focusing on revolutionizing AI technologies. Frank's expertise in Metaverses, Generative AI, and VR/AR/XR drives his passion for creating cutting-edge tech solutions.
Dr. Wu founded AYR with the mission to democratize intelligent document processing through easy-to-use AI technologies. Possessing more than 20 years of Machine Learning experience, Dr. Wu has successfully worked out over 200 real-world AI use cases for governments and highly regulated enterprises. He holds a Bachelor of Engineering in Computer Science from Peking University and a PhD in Machine Learning from Lehigh University.
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