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AI Advance 4: AI Safety and Hallucinations

Safe AI Builds Trust and New Revenues Opportunities

(2:15 minute reading time)
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Frustrated users interacting with
non-confidential and hallucinating AI's

AI Pain Point:

AI's misalignment with real user needs and accuracy frequently results in responses questioned for their relevance and accuracy, fostering skepticism by users, businesses, and societies.

Collective learning produced by aggregated anonymous data

Expandiverse IP Advance:

Expandiverse IP adds anonymous collective learning and optimization — it protects the privacy of each user's goals, solutions presented, user interactions and results. This collectively improves the “best solutions” presented, and reports quantitative anonymous data on the “most effective solutions".

Users interact with AI on their multiple devices in their own secure and private AI environment

The Big Idea:

User trust and engagement comes from safe, provable, and private digital experiences across a user’s multiple devices.

How does it Work? Expandiverse IP funnels assist users personally and privately, with anonymous data aggregation. This collective data and AI learning identifies the best solutions for transparent reporting and low-cost real-time lookups to fit each user’s goals. Low-cost processes means billions always know the world’s best choices, so everyone can lift their lives and elevate the planet with safe and provable private assistance.

What’s the Difference? Expandiverse IP provides everyone with “world’s best choices” personalized for their goals, with visible data on effectiveness, ensuring reliable, user-aligned assistance that fosters trust.

Secure and Private Adaptive Learning: User-centered AI solutions tailored to user's goals and interactions supported by quantitative data

aI's next level:

Leverage trusted, proven AI solutions that are aligned with each user's needs:

  • User-Centered Design: AI adapts to personal goals, offering tailored solutions.
  • Privacy First: Protects user’s AI privacy across their devices, enhancing security from surveillance platforms and competitive AI’s.
  • Quantitative Proof: AI decisions are backed by data, increasing reliability.
  • Adaptive Learning: AI evolves with user behavior, continuously improving the personalized content and choices it provides each person.

The Big Picture: Safe, proven AI experiences not only build trust but also unlock new revenue streams, positioning these AI providers as a reliable leader in ethical, people-first AI solutions.

Monetization:

Harness AI trust and safety for new revenue streams and moats against competitors and surveillance platforms:

  • Trust-Driven Engagement: Builds loyalty through secure, personalized experiences.
  • Private Market Transactions: Facilitates secure transactions within your AI-driven ecosystems.
  • Vendor Insights: Aggregated anonymous data guides participating vendors privately to meet user goals, choices and interactions.
  • Dynamic Adaptation: AI evolves to align with new user goals; as users enter new industries it learns what works best in order to assist more users and capture increasing market shares.
Secure, private market transactions in an AI-driven ecosystem that protects people, AI providers and vendors from surveillance platforms and competitors
Eco-conscious consumers, students, and community members in a secure and private digital urban environment

Scenarios:

The hundreds of millions of people who experience climate disasters each year can redirect their lifestyle transactions rapidly by selecting Sustainability as a personal goal:

  • User Scenario: Eco-conscious consumers, students and communities can easily choose sustainable goals, then make AI-driven sustainable choices in private transactions.
  • Business Scenario: Companies target eco-focused markets with tailored products and interactive sustainable lifestyle assistance.
  • Global Scenario: As climate disasters sweep the planet each year, coordinated climate responses by millions in each of those regions drive collective market shifts, with impacts across industries and economies.

The Bottom Line: 

Applying this safe AI fosters trust, while personalizing AI for each user’s goals and values drives engagement, and opens private revenue opportunities, leading to global AI leadership.

This email highlights one way to apply Expandiverse IP to unlock new revenue opportunities and position your company as a leader in world-scale AI solutions.

AI privacy and safety drive trust, personalization, and revenue growth in a private market, in a moat against the surveillance platforms and AI competitors

For more on the Expandiverse IP quantitative process, see the AI Revenues page.

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AI Privacy and Protection

Dan Abelow,
Expandiverse Innovator and Founder

3-minute Bio: Click to view full size

 

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