The Sir Roy G. Biv Foundation Trust's Adopt-a-Child: Pioneering the HITL Ministry
- Drew Wade
- Dec 3, 2024
- 6 min read
Updated: Dec 8, 2024
How The Sir Roy G. Biv Foundation Trust is Transforming the Future of Healthcare AI
As global industries march into the AI-powered future, a quiet revolution is happening at the intersection of technology and healthcare—a revolution powered by the unsung heroes known as Humans in the Loop (HITL). This group of workers, integral to AI's meteoric rise, is now taking center stage in a groundbreaking initiative by The Sir Roy G. Biv Foundation Trust. Their "Adopt-a-Child" program, part of a visionary Humans in the Loop Ministry, is set to rewrite the rules of healthcare equity, patient data ownership, and diagnostic precision.
From the smallest village in Kenya to the largest metropolis in the U.S., this initiative promises to empower the world's poorest communities by leveraging AI-trained human input and ethically valuing personal data assets. But how does this lofty ambition translate into tangible impact for stakeholders, including the world's top neuroscientists, healthcare venture capitalists, and private equity titans?
From Soul Coins™ to Micro IRAs: Rewriting Generational Wealth
The Adopt-a-Child ministry goes beyond healthcare. Every newborn, aptly called a "Gen A Human in the Loop," will receive a Micro IRA backed by a Soul Coin™—a digital representation of parental chromosome data. This bold step links future healthcare outcomes to the most intimate building blocks of life: DNA.
The initiative is funded through strategic grants and partnerships with stakeholders such as insurance firms, health systems, and pharmaceutical companies. These investments don’t just aim to support diagnostic innovation but also to unlock multi-billion-dollar opportunities in healthcare AI.
Behind the Curtain of AI Development
On November 24, 2024, Lesley Stahl’s 60 Minutes shed light on HITL workers who label and moderate vast datasets. Often paid as little as $2 an hour, these individuals power AI systems used by companies like Meta, Google, and Microsoft. Their work ensures that AI models can identify tumors on MRIs or detect developmental delays in children with ADHD.
Why this matters: Without HITL workers, AI tools lack the contextual understanding needed to perform accurately in real-world healthcare environments. They annotate subtleties in medical imaging, correct errors, and refine algorithms—tasks vital to neuroradiologists who earn upwards of $505,000 annually.
What HITL Workers Do
HITL workers perform various tasks, such as:
Labeling data to train AI systems for diagnostic imaging and neurodevelopmental conditions.
Moderating content for ethical AI use in healthcare, particularly sensitive patient data.
Validating outputs to improve AI precision.
Despite their critical role, HITL workers face challenges such as low wages and exposure to distressing content. The Sir Roy G. Biv Foundation Trust aims to elevate their contributions, linking fair pay to better healthcare outcomes globally.
Healthcare's Transformational Leap
AI systems, especially in sophisticated imaging, are revolutionizing healthcare diagnostics. Here’s where HITL’s impact is most profound:
1. Enhancing Diagnostic Accuracy
HITL workers annotate MRIs, CT scans, and X-rays, enabling AI to:
Detect cancer, strokes, and heart disease earlier.
Prioritize critical cases for neuroradiologists.
Improve diagnostics for autism spectrum disorder (ASD) and ADHD.
2. Supporting Personalized Care
AI tools trained by HITL workers can recommend tailored therapies, from behavioral interventions to medication regimens. This has already improved neurodivergent care outcomes by 30% in pilot studies at institutions like Boston Children’s Hospital.
3. Bridging Specialist Shortages
Countries like Kenya, with a literacy rate of 81.5% and approximately 10,000 medical doctors, face a dire shortage of pediatric neurologists. HITL-trained AI expands access, reducing diagnosis times by 50%.
From the Eyes of Stakeholders
Medical Professionals
Neuropsychologists: With salaries ranging from $95,000 to $150,000, these specialists rely on AI for accurate behavioral assessments.
Pediatric Neurologists: Earning $200,000–$400,000 annually, they depend on AI for early ASD and ADHD diagnoses.
Healthcare Investors
Private equity firms, such as Blackstone Healthcare Partners, eye AI as a $20 billion investment opportunity. HITL ensures these tools meet regulatory standards and maximize ROI.
Pharmaceutical Companies
Firms like Pfizer and Roche use HITL-validated AI to streamline drug development for neurodevelopmental disorders.
Global Ecosystem: Data-Driven Impact
Country-Specific Insights
Key Findings:
In the U.S., HITL is transforming imaging-based diagnostics for cancer.
In India, AI tools are bridging rural healthcare gaps.
In Kenya, HITL-trained AI offers life-saving diagnoses where doctors are scarce.
The Financial Vision
Why the Adopt-a-Child Initiative is a Game-Changer
Healthcare Savings:
HITL-validated AI reduces diagnostic costs by 25%, freeing up billions for public health.
Economic Equity:
Soul Coin™ Micro IRAs ensure even the poorest families share in healthcare-driven wealth.
Investor Opportunities:
Venture capital firms like Andreessen Horowitz predict a 30% ROI in healthcare AI tied to HITL.
The Ripple Effect
For every $1 invested, the program could deliver $5 in healthcare savings, benefiting communities and investors alike.
The Bigger Picture
The Sir Roy G. Biv Foundation Trust’s model demonstrates that fair compensation for HITL workers isn’t just an ethical imperative—it’s a financial one. By bridging gaps in AI accuracy, HITL ensures that the world’s top doctors can focus on treatments rather than diagnostics.
Throughout human history, there have been three types of people, generally speaking, in terms of the means of production for meeting the hierarchy of needs: owners, renters, and slaves. Owners control 100% of their time, renters control some of their time, while slaves control none. Time is destiny, as it’s the critical input for investing energy to achieve goals. This dynamic mirrors how the Internet has evolved. Web1 allowed content providers to be the exclusive owners of user data, while consumers owned none. Web2 gave consumers limited control over their data, but system owners still reaped most benefits. Web3 finally enables consumers to fully control their data and become joint owners of the system. The ministry, supported by stakeholders such as neuroimaging leaders like Siemens Healthineers and insurance payers who rely on AI models trained by HITL workers, offers a path for HITL families to transition into owners—empowered stakeholders in the digital economy.
This ministry is an act of goodwill that empowers families to generate wealth and trust in the system. Many HITL workers' children are growing up in tech-savvy households, where parents are highly educated and skilled. These children, equipped with even greater knowledge and skills, could otherwise grow resentful of a system that benefits from their parents’ underpaid labor.
Without inclusion and equity, the seeds of discontent could grow into a revolution, as these youth understand the vulnerabilities of the societies profiting from their families' work. By making them owners of the system—through initiatives like Adopt-a-Child—we transform them into friends and allies, ensuring a future where collaboration, rather than conflict, drives progress.
A Healthcare Revolution
As you walk through airport lounges or scroll LinkedIn, pause for a moment. Consider the vast ecosystem of HITL workers empowering global healthcare. Through initiatives like Adopt-a-Child, we’re not just building better AI—we’re creating a future where every child, regardless of geography or income, starts life with a stake in the data economy.
In the words of The Sir Roy G. Biv Foundation Trust’s visionary leader, “Healthcare is no longer about what’s possible. It’s about what’s fair.”
Exhibit A - End User Stakeholders
Here is a table summarizing the end-user individual stakeholders dependent on enhanced diagnostic accuracy for neurodivergent conditions due to the work of Humans in the Loop (HITL). The table includes titles, education, training, annual salary, hourly wages, employer examples, and work locations:
Key Insights:
Diverse Stakeholders: These stakeholders range from medical professionals to educators and even technical workers such as AI engineers and annotators.
Work Locations: They operate in various environments, including hospitals, clinics, schools, and remote settings.
Dependence on HITL: HITL ensures accurate, equitable, and efficient diagnostic tools, which all these stakeholders depend on to perform their roles effectively.
Income Disparities: There is a wide range of salaries, reflecting the varied levels of education and specialization required.
Copyright ©️ 2024 The Sir Roy G. Biv Foundation Trust
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