StL TechWeek keynote presentation given by Ed Morrissey of Integrity Web Consulting covering exponential growth and generational technophobia as concerns with AI and Geospatial.
5. –
Life
is
short.
Do
stuff
that
matters.
5
My Journey
• St. Louis, Missouri current city
• New York, New York moved in 2005
• Washington, DC moved in 2004
• Bellaire, Texas moved in 1998
• Houston, Texas moved in 1994
• Little Rock, Arkansas moved in 1993
• Conway, Arkansas moved in 1989
• Leslie, Arkansas moved in 1974
• Wolf Creek, MT early years
• Sun City, California early years
• Quail Valley, California early years
• Hemet, California early years
• Norco, California early years
• Westminster, California hometown
16. –
Life
is
short.
Do
stuff
that
matters.
16
We Are Still Struggling with Social AI
• Info Overload
• Addiction
• Doomscrolling
• Sexualization
• Polarization
• Cults/Qanon
• Deepfakes
• Fake News
• Govt Breakdowns
SocialAI
SocialAI GenerativeAI
17. –
Life
is
short.
Do
stuff
that
matters.
17
We Are Still Struggling with Social AI
• Info Overload
• Addiction
• Doomscrolling
• Sexualization
• Polarization
• Cults/Qanon
• Deepfakes
• Fake News
• Govt Breakdowns
SocialAI
SocialAI GenerativeAI
• Info Overload
• Addiction
• Doomscrolling
• Sexualization
• Polarization
• Cults/Qanon
• Deepfakes
• Fake News
• Govt Breakdowns
18. –
Life
is
short.
Do
stuff
that
matters.
18
We Are Still Struggling with Social AI
• Info Overload
• Addiction
• Doomscrolling
• Sexualization
• Polarization
• Cults/Qanon
• Deepfakes
• Fake News
• Govt Breakdowns
SocialAI
SocialAI GenerativeAI
• Info Overload
• Addiction
• Doomscrolling
• Sexualization
• Polarization
• Cults/Qanon
• Deepfakes
• Fake News
• Govt Breakdowns
• Fake everything
• Trust collapse
• Collapse of laws
• Cyberweapons
• Code exploitation
• Automated everything
• Fake relationships
• Exponential blackmail
• AlphaPersuade
19. –
Life
is
short.
Do
stuff
that
matters.
19
We Are Still Struggling with Social AI
• Info Overload
• Addiction
• Doomscrolling
• Sexualization
• Polarization
• Cults/Qanon
• Deepfakes
• Fake News
• Govt Breakdowns
SocialAI
SocialAI GenerativeAI
• Info Overload
• Addiction
• Doomscrolling
• Sexualization
• Polarization
• Cults/Qanon
• Deepfakes
• Fake News
• Govt Breakdowns
• Fake everything
• Trust collapse
• Collapse of laws
• Cyberweapons
• Code exploitation
• Automated everything
• Fake relationships
• Exponential blackmail
• AlphaPersuade
20. –
Life
is
short.
Do
stuff
that
matters.
20
New Tech + Exponentiality
•Invent a new technology,
a new class of responsibilities
•If the new tech confers power,
it starts a race
•If we do not coordinate,
the race ends in tragedy
1:45 – 2:30 PM | “Secure AI Integration Practices” Panel
Moderator: Zekita Armstrong Asuquo, Chair and CEO at Gateway Global
Sekhar Prabhakar, CEO, CEdge
Joseph Ackerman, Data Scientist, Booz Allen Hamilton
Bryan Raymer, National Government Lead, Advanced Analytics, ESRI
Ryan Roe, Labeled Data Manager, Data and Digital Innovation, NGA
2:35 – 3:15 PM | “AI-Powered Innovation” Panel
Moderator: Frank Hopper, Managing Director of Capital Innovators
Simon Bailey, CEO, T-Kartor
Akash Vidyadharan, Founder & Chief Technology Officer at InfraLytiks
George Worrall, Director, Deep Grain
3:20 – 4:00 PM | “Navigating Responsible AI” Panel
Moderator: Nicole Mathern, Community Partnerships Program Manager, K-Career, and Aeronautical Analyst, Leidos
Jessica Tucker, Software Engineer II, Mastercard
Amy Heger, Microsoft User Experience Researcher in Responsible AI
Chris Kontes, COO, Balto
1:45 – 2:30 PM | “Secure AI Integration Practices” Panel
Moderator: Zekita Armstrong Asuquo, Chair and CEO at Gateway Global
Sekhar Prabhakar, CEO, CEdge
Joseph Ackerman, Data Scientist, Booz Allen Hamilton
Bryan Raymer, National Government Lead, Advanced Analytics, ESRI
Ryan Roe, Labeled Data Manager, Data and Digital Innovation, NGA
2:35 – 3:15 PM | “AI-Powered Innovation” Panel
Moderator: Frank Hopper, Managing Director of Capital Innovators
Simon Bailey, CEO, T-Kartor
Akash Vidyadharan, Founder & Chief Technology Officer at InfraLytiks
George Worrall, Director, Deep Grain
3:20 – 4:00 PM | “Navigating Responsible AI” Panel
Moderator: Nicole Mathern, Community Partnerships Program Manager, K-Career, and Aeronautical Analyst, Leidos
Jessica Tucker, Software Engineer II, Mastercard
Amy Heger, Microsoft User Experience Researcher in Responsible AI
Chris Kontes, COO, Balto
Moved to STL years ago, not very techie, look at us now; high five someone neat to you, humans are more critical
TSARP
Constellation
Burlington Resources
MS Gold Partner with ESRI
Idea Integration Named Microsoft Consulting Services Public Sector Partner of the Year
Intro – fed gov, GIS and AI expertise
Moved here when ‘Stl wasn’t techie’
Look at us now
Rather than talk feeds and speeds of AI
Talk about the human aspect, risks and..
The fact we humans control it all
No go have fun and kick ass!
What is GIS?
GIS refers to a system where geographic information is stored in layers and integrated with geographic software programs so that spatial information can be created, stored, manipulated, analyzed, and visualized (mapped). GIS is a system for performing geospatial analysis and analytics.
What is Geospatial Data?
The word geospatial is used to indicate that data that has a geographic component to it. This means that the records in a dataset have locational information tied to them such as geographic data in the form of coordinates, address, city, or ZIP code.
Job automation
Our society's ability to discern what's real or artificial is a massive concern to me
our government is too old to even manage
most humans aren't capable of managing exponential change like this
https://time.com/6266923/ai-eliezer-yudkowsky-open-letter-not-enough/
https://lexfridman.com/sam-altman/
https://www.nytimes.com/2023/03/12/opinion/chatbots-artificial-intelligence-future-weirdness.html
Imagine if 50% of airplane engineers thought there was a 10% chance everyone dies.
Actual question: “What probability do you put on human inability to control future advanced AI systems causing human extinction or similarly permanent and severe disempowerment of the human species?” AI Impacts Survey of 738 ML researchers from June –August 2022
Computer Vision
Speech Recognition
Robotics
Imaging
Music Generation
Speech Synthesis
Social AI and Generative AI are two distinct branches of AI that serve different purposes.
Social AI refers to AI systems that are designed to interact with humans in a social or conversational manner, such as chatbots, virtual assistants, or social media algorithms. These systems rely on natural language processing and machine learning algorithms to understand and respond to human input.
On the other hand, Generative AI is focused on creating new content or data, such as images, videos, music, or text. This type of AI uses deep learning algorithms, such as generative adversarial networks (GANs) or transformers, to generate new content that is similar to existing data.
While both Social AI and Generative AI rely on machine learning algorithms, their applications and goals are quite different. Social AI is focused on providing efficient and natural interactions with humans, while Generative AI is focused on creating new content that is similar to existing data.
Social AI and Generative AI are two distinct branches of AI that serve different purposes.
Social AI refers to AI systems that are designed to interact with humans in a social or conversational manner, such as chatbots, virtual assistants, or social media algorithms. These systems rely on natural language processing and machine learning algorithms to understand and respond to human input.
On the other hand, Generative AI is focused on creating new content or data, such as images, videos, music, or text. This type of AI uses deep learning algorithms, such as generative adversarial networks (GANs) or transformers, to generate new content that is similar to existing data.
While both Social AI and Generative AI rely on machine learning algorithms, their applications and goals are quite different. Social AI is focused on providing efficient and natural interactions with humans, while Generative AI is focused on creating new content that is similar to existing data.
Social AI and Generative AI are two distinct branches of AI that serve different purposes.
Social AI refers to AI systems that are designed to interact with humans in a social or conversational manner, such as chatbots, virtual assistants, or social media algorithms. These systems rely on natural language processing and machine learning algorithms to understand and respond to human input.
On the other hand, Generative AI is focused on creating new content or data, such as images, videos, music, or text. This type of AI uses deep learning algorithms, such as generative adversarial networks (GANs) or transformers, to generate new content that is similar to existing data.
While both Social AI and Generative AI rely on machine learning algorithms, their applications and goals are quite different. Social AI is focused on providing efficient and natural interactions with humans, while Generative AI is focused on creating new content that is similar to existing data.
Social AI and Generative AI are two distinct branches of AI that serve different purposes.
Social AI refers to AI systems that are designed to interact with humans in a social or conversational manner, such as chatbots, virtual assistants, or social media algorithms. These systems rely on natural language processing and machine learning algorithms to understand and respond to human input.
On the other hand, Generative AI is focused on creating new content or data, such as images, videos, music, or text. This type of AI uses deep learning algorithms, such as generative adversarial networks (GANs) or transformers, to generate new content that is similar to existing data.
While both Social AI and Generative AI rely on machine learning algorithms, their applications and goals are quite different. Social AI is focused on providing efficient and natural interactions with humans, while Generative AI is focused on creating new content that is similar to existing data.
Limit nukes to 9 countries
Signed nuclear test ban treaties
Created the UN and Bretton Woods
Haven’t destroy the earth, yet.
Robert Openheimer
Manhattan Project
World is about to change in a very dangerous way
Nukes don’t make strong nukes
AI makes strong AI
It’s hard to wrap our heads around
In an exponential world, the last few steps matter the most
But, it’s no problem for AI
AI matures AI
Learns and improves via recurrent models
Without human intervention
Emergent properties
We are not prepared. We are not on course to be prepared in any reasonable time window. There is no plan. Progress in AI capabilities is running vastly, vastly ahead of progress in AI alignment or even progress in understanding what the hell is going on inside those systems. If we actually do this, we are all going to die.
New tech = new responsibilities
With great power comes great responsibility
China bans AI
Banning of Snapchat
Slowing down public releases
Elon Musk letter
Make this week ridiculously awesome
New tech = new responsibilities
With great power comes great responsibility
China bans AI
Banning of Snapchat
Slowing down public releases
Elon Musk letter
Make this week ridiculously awesome