Impact AI Inc’s technology innovation revolves around a cutting-edge conversational AI platform designed to support public institutional initiatives. This platform is built on locally deployable NLP dialogs constructed by domain experts and operates on edge devices without the need for external APIs.
Key technical innovations:
Edge Computing and API Independence: The platform processes data locally on edge devices, reducing latency and enhancing security. It operates independently of external APIs, which lowers costs and increases reliability. This self-sufficiency is crucial for maintaining data integrity and reducing dependency on external services.
Conversational Data Provenance: The platform ensures that all conversational source data is traceable, providing a clear history of interactions. This feature is essential for transparency and accountability.
Data Aggregation and Revenue Sharing: The platform aggregates data to provide actionable insights for urban planning and resource management. It also offers revenue-sharing opportunities for municipalities through data-driven services, creating a new economic model for institutional development.
Enhancing Public Health and Combating Disinformation: The platform delivers reliable health messages and counters false information by providing an authoritative source. This ensures that citizens receive accurate data, reducing misinformation and boosting public trust.
Human-in-the-Loop and Expert Dialog Design: The platform involves human oversight to ensure AI decisions align with ethical standards and community values. It customizes AI interactions to meet specific municipal needs, enhancing user experience and engagement.
Deployment Strategy: The platform integrates seamlessly with existing systems to enhance service delivery without disruption. It provides comprehensive training and ongoing support to empower municipal staff and ensure optimal performance.
The platform’s unique design, emphasizing edge computing, API independence, and ethical AI practices, addresses the critical needs in enhancing public health, combating disinformation, and supporting data-driven decision-making. The origins of this innovation stem from the need for secure, scalable, and reliable AI solutions that can operate within the constraints of public infrastructure, ensuring that initiatives are both effective and ethical.
Unlike traditional AI solutions that scrape information from the web to create large language models (LLMs), Impact AI Inc’s platform leverages verifiable automated dialogs from domain experts. This approach ensures that the information provided is accurate, reliable, and tailored to the specific needs of stakeholders.
The potential for massive social impact is significant. By providing accurate health information, combating disinformation, and supporting data-driven decision-making, the platform can improve public health, enhance public trust, and contribute to more efficient and effective governance. The use of expert-designed dialogs ensures that the information is not only accurate but also contextually relevant, addressing the specific challenges and needs of public service.
The technical objectives and challenges of Impact AI Inc’s conversational AI platform for public institutions involve several key areas :
Secure and Reliable Data Management: The platform aims to ensure the security and reliability of data management for public institutions, protecting sensitive information and maintaining public trust. The R&D challenge lies in developing robust data protection mechanisms and ensuring compliance with relevant regulations.
Conversational Data Provenance: Ensuring traceable conversational data to maintain transparency and accountability in AI-driven conversations is critical for public institutions. The challenge involves designing and implementing robust data tracking and auditing mechanisms.
Human-in-the-Loop and Expert Dialog Design: Integrating human oversight and expert-designed dialogs to ensure AI decisions align with public values and ethical standards is essential. The R&D challenge includes developing effective human-AI collaboration frameworks and expert dialog design methodologies.
Ethical AI Practices: Addressing ethical concerns such as bias, privacy, and security is crucial for public institutions. The challenge involves developing and implementing ethical AI guidelines and practices that ensure fairness, transparency, and accountability.
To address these challenges, Impact AI Inc will employ a unique scientific approach that emphasizes:
Domain Expertise: Leveraging domain experts to design and validate AI dialogs ensures that the information provided is accurate and contextually relevant for public institutions.
Secure Data Management Innovations: Developing novel data protection mechanisms and ensuring compliance with relevant regulations to protect sensitive information.
Transparent Data Management: Implementing robust data tracking and auditing mechanisms to ensure transparency and accountability in AI-driven conversations.
Ethical AI Frameworks: Developing and implementing ethical AI guidelines and practices that ensure fairness, transparency, and accountability.
This approach will lead to a sustainable competitive advantage for public institutions by providing a secure, scalable, and reliable conversational AI platform that addresses the critical needs of public institutions while ensuring ethical AI practices. The focus on domain expertise, secure data management innovations, transparent data management, and ethical AI frameworks will differentiate Impact AI Inc’s platform from existing solutions and establish it as a leader in the public sector AI market.
Government Agencies: Health departments, public health services, and other government agencies that need to disseminate accurate health information to the public.
Municipalities: Local governments and city administrations that require reliable data to inform urban planning and resource management decisions.
Social Service Organizations: Non-profits and community organizations that provide essential support services to individuals and families.
Pain Points:
Health Misinformation: The spread of false or misleading health information that can cause confusion, harm public health, and undermine public health efforts.
Lack of Trustworthy Sources: The difficulty in finding reliable and accurate health information, exacerbated by the prevalence of unsourced, false, or sponsored content on social media and the internet.
Market Size:
(TAM): $1.5 billion, focusing on the global conversational AI market for public institutions.
SAM): $300 million, targeting local government agencies, municipalities, and social service organizations in the United States.
(SOM): $15 million, focusing on early adopter municipalities and pilot projects with social service organizations.
Impact AI Inc’s platform addresses these pain points by providing a secure, scalable, and reliable conversational AI solution that leverages expert-designed dialogs and vetted data sources, ensuring that the information provided is accurate, reliable, and tailored to the specific needs of public institutions. This approach aligns with the U.S. recommendations for using technology and media platforms to share accurate health information with the public and amplifying communications from trusted messengers and subject matter experts.
Company and Team:
Impact AI Inc is a small business focused on developing a conversational AI platform for social impact , particularly addressing the critical need for accurate and reliable health information in public institutions. The company is led by Bryan Ogden, Founder/CEO, who holds a Master of Science in Integrated Technology and Science, a Master of Science in Sustainability, and a Master of Arts in Psychology.
Impact AI Inc was established to address the growing issue of health misinformation and the need for trustworthy sources of health information. The company’s solution leverages expert-designed dialogs and vetted data sources to provide accurate and contextually relevant information to the public.
Current Status:
Impact AI Inc is currently in the development phase of its conversational AI platform, with a focus on creating bespoke chatbots that are locally deployed and private. The company is seeking partnerships with government agencies, municipalities, and social service organizations to pilot its solution and amplify the voices of expertise in community members.
Team Members:
Bryan Ogden, Founder/CEO: Leads the company’s technical and commercial efforts, bringing a strong background in integrated technology, sustainability, and psychology.
Additional Team Members: Bryan Ogden works with several other agencies as well as the ai consultation group he started in the EU Ninjamoba.com He has recently been accelerated by smartcityworks.io in Washington DC and has contracted with impactday.eu to develop a chatbot for their sustainability conference in Estonia with Ninjamoba.com.