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Brad London

Co-Founder & CEO

circular.eco

blondon@circular.eco

716-393-1900

Leveraging AI for Education and Outreach

Full Presentation & Toolkit

https://circular.eco/nysar2023

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A little about us…

Western New York Company

  • All founders are from Niagara County
  • 10 Years experience delivering product stewardship technologies.
  • Extensive background in Technology, Design, and Sustainability.

Our Mission: Become the Authoritative Voice for Individual Circularity

is now

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Evolution of Artificial Intelligence

Early work started in the 40’s & 50’s

  • Neural Networks
  • Turing Test Proposal

Expert Systems in the 80’s

  • Rules based AI

Machine Learning in the 90’s

  • IBM Deep Blue - Chess / Kasparov

Big Data - 2000’s to Present

  • IBM Watson - Jeopardy!
  • Internet Boom
  • Specialized Hardware (NVIDIA)

Image Created with OpenAI - Dall-E 3

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The Four Types of Artificial Intelligence

Reactive

Machines

React to stimuli in their environment.

Limited Memory

Store and access past experiences / knowledge.

Theory of Mind

Understand and reason about the beliefs, desires and intentions of other people.

Self Aware

Understand their own existence and place in the world.

We are here.

In Development.

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The AI Boom: Rapid Adoption and Advancements

5 Days

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A lot of room for improvement

Knowledge

Cut Off

Systems are limited to specific datasets used during the training process. This typically has a timeframe or specific date.

Example: GPT 3.5 Knowledge Cut Off Date is Jan 2022

Hallucinations

Knowledge cut off without additional context AI Systems can often hallucinate responses. Additional Context and fine tuning is critical to decrease likelihood of incorrect information.

Rapid Changes

The rate that AI systems are changing is unprecedented. Weekly innovations will make it hard to keep up with applications and use cases.

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Ethical and Social Implications

Bias and Fairness

AI systems can inadvertently perpetuate and amplify biases present in their training data, leading to unfair outcomes.

Transparency

Many AI models, especially deep learning, are often considered “black boxes” because their decision-making processes are not easily understandable by humans.

Privacy

AI systems that process personal data raise concerns about user privacy and data security.

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How can all of this help you?

(Demo)

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Pulling it all together..

Custom

Knowledge

Services

Local

Knowledge

Local

Services

Legislation

Local, State &

Global

Feedback

& Interaction

Tools That Accelerate a Circular Economy

Continuously Evolving

Enabling Solutions at Scale

Engaging Customer & Consumer Experiences

Specialized Mail Back Programs

Consumer Mail Back Program

Reverse Logistics & Tracking

Packaging

Product Stewardship Program

Hyper Local Education & Outreach

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Brad London

Co-Founder & CEO

circular.eco

blondon@circular.eco

716-393-1900

Thank you!

Full Presentation & Toolkit

https://circular.eco/nysar2023