n an era dominated by algorithms that often compromise both personalization and privacy, the advent of meaningful AI promises to redefine our digital experiences. This next-gen AI doesn't just gather data; it understands deeper context, adapts in real-time, and focuses on what is meaningful for every user at the highest possible resolution. Beyond personal utility, meaningful AI has the potential to transform economic systems, drive equitable wealth distribution and optimized resource allocation through hyper-efficient automation.
With the explosion of generative AI causing massive ripple effects across industries, alarm bells are ringing around building systems responsibly for humans to flourish in this new age. Challenges in AI safety and alignment are important derivatives of problems deeply rooted in how the web, media, and data ecosystems are built.
Big tech companies primarily profit from collecting user data to deliver targeted ads, often without explicit consent, fair compensation or data practice transparency. This model prioritizes profit over privacy, undermines personal data integrity, and is worsened by AI algorithms that amplify content that contributes to societal polarization. In a digital age rife with deep fakes and misinformation campaigns, the role of human validation is indispensable. Machine algorithms, while increasingly sophisticated, still fall short of discerning fact from fiction, requiring human oversight for maintaining information integrity. Digital platforms and media utilities like search are all binary by design and cannot reflect the full spectrum of human expression and experience—obfuscating attributes and preferences into targeting mechanisms designed for behavior modification. AI needs much better resolution in order to power our autonomous future, and perhaps to fulfill the utopian vision of having a personal expert in your pocket that can, along with countless other personal AI nodes, collectively solve the world’s biggest problems.
What’s needed for this vision for human flourishing is a radical re-envisioning of the entire web and data ecosystem at the foundational level—evolving it from a data extraction monolith to a universal platform powered by human-centric AI expression. This will not only unlock exponential value for every user, it will harmonize market economies by providing AI with the highest resolution that will lead to the emergence of a societal creative class, and a more prosperous future for humanity.
What exactly is meaningful AI and how is it a departure from the current model?
Meaningful AI is a functional data object that can render a user’s subjective interpretation of keywords and content. Think of how users place hashtags on posts, but instead of just posting a tag on a photo, a point of expression across a spectrum is created. (0-5-star ratings is just one of countless examples). These are not merely new data points but rich layers of information resolution that enable AI systems to grasp the user's unique preferences, situational context, emotions, and any attributes of intent and interest. This multi-layered understanding propels personalization to new heights, allowing the AI to adapt in real-time as user behaviors and preferences evolve. It also maps subjective experiences with objective insights in real-time rather than the traditional input-process-output computation model. It can do this at an infinite capacity across multiple dimensions. What sets this apart from existing technical and personalization models is the shift from a platform-centric to human-centric data experience and architecture with ethical considerations. Usually, personalization compromises privacy, but the encryption embedded in these semantic data objects allows for nuanced customization without jeopardizing user data.
But the implications of AI for enhanced expression extend beyond individual experiences and better recommendation engines. They serve as conduits for peer-to-peer transactions, enabling direct, nuanced exchanges between users and businesses, thereby creating a more balanced market dynamic. This could even replace the current, ad-based revenue models with a democratic data marketplace. In this new paradigm, these expressive non-dual objects determine the value of publicly-owned data, offering a more equitable distribution of digital wealth to the users that allow third-parties to partake in leveraging their data.
Resource allocation, too, gains from the inherent intelligence of these semantically-driven AI expressions. They possess the potential to harmonize global and local economies. Imagine a way for an AI to express the value of a local artisanal craft, connecting it with a global market that cherishes its uniqueness and cultural richness.
In the realm of professions, the reach of meaningful AI will be transformative and universal, serving as collaborators for scientists, fonts of creativity for artists and creators, and advisors for societal leaders, boosting the wellbeing of the communities they lead.
This isn't just an upgrade in processing power; it's a renaissance of the human spirit. With proper human-centric expressions reinforcing integrity and enriched feedback loops at the same rate at which content and data are created every day, the AI of the future will be able to understand complex concepts like emotion–or even spirituality, enabling people to express themselves creatively, regardless of technical skill, while fostering empathy and resilience.
AI informed by augmented semantic resolution offers a dual promise: First, it elevates AI personalization, deepening its understanding and adaptability in real-time. Second, it has the potential to democratize and harmonize economic systems by infusing transactions and data ownership with layers of meaningful interconnected values into a global scale neural network that serves the collective whole while optimizing individual nodes. Through these groundbreaking capabilities, we may be on the brink of entering an era of human-centered AI abundance and equitable digital economies.
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How Meaningful AI Will Enable Human Flourishing
Image via Adobe Stock.
October 9, 2023
In an era dominated by algorithms that often compromise both personalization and privacy, the advent of meaningful AI promises better. Meaningful AI surpasses current AI with contextual understanding and real-time adaptation—and holds promise for the future of human flourishing, writes Nikos Acuña.
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n an era dominated by algorithms that often compromise both personalization and privacy, the advent of meaningful AI promises to redefine our digital experiences. This next-gen AI doesn't just gather data; it understands deeper context, adapts in real-time, and focuses on what is meaningful for every user at the highest possible resolution. Beyond personal utility, meaningful AI has the potential to transform economic systems, drive equitable wealth distribution and optimized resource allocation through hyper-efficient automation.
With the explosion of generative AI causing massive ripple effects across industries, alarm bells are ringing around building systems responsibly for humans to flourish in this new age. Challenges in AI safety and alignment are important derivatives of problems deeply rooted in how the web, media, and data ecosystems are built.
Big tech companies primarily profit from collecting user data to deliver targeted ads, often without explicit consent, fair compensation or data practice transparency. This model prioritizes profit over privacy, undermines personal data integrity, and is worsened by AI algorithms that amplify content that contributes to societal polarization. In a digital age rife with deep fakes and misinformation campaigns, the role of human validation is indispensable. Machine algorithms, while increasingly sophisticated, still fall short of discerning fact from fiction, requiring human oversight for maintaining information integrity. Digital platforms and media utilities like search are all binary by design and cannot reflect the full spectrum of human expression and experience—obfuscating attributes and preferences into targeting mechanisms designed for behavior modification. AI needs much better resolution in order to power our autonomous future, and perhaps to fulfill the utopian vision of having a personal expert in your pocket that can, along with countless other personal AI nodes, collectively solve the world’s biggest problems.
What’s needed for this vision for human flourishing is a radical re-envisioning of the entire web and data ecosystem at the foundational level—evolving it from a data extraction monolith to a universal platform powered by human-centric AI expression. This will not only unlock exponential value for every user, it will harmonize market economies by providing AI with the highest resolution that will lead to the emergence of a societal creative class, and a more prosperous future for humanity.
What exactly is meaningful AI and how is it a departure from the current model?
Meaningful AI is a functional data object that can render a user’s subjective interpretation of keywords and content. Think of how users place hashtags on posts, but instead of just posting a tag on a photo, a point of expression across a spectrum is created. (0-5-star ratings is just one of countless examples). These are not merely new data points but rich layers of information resolution that enable AI systems to grasp the user's unique preferences, situational context, emotions, and any attributes of intent and interest. This multi-layered understanding propels personalization to new heights, allowing the AI to adapt in real-time as user behaviors and preferences evolve. It also maps subjective experiences with objective insights in real-time rather than the traditional input-process-output computation model. It can do this at an infinite capacity across multiple dimensions. What sets this apart from existing technical and personalization models is the shift from a platform-centric to human-centric data experience and architecture with ethical considerations. Usually, personalization compromises privacy, but the encryption embedded in these semantic data objects allows for nuanced customization without jeopardizing user data.
But the implications of AI for enhanced expression extend beyond individual experiences and better recommendation engines. They serve as conduits for peer-to-peer transactions, enabling direct, nuanced exchanges between users and businesses, thereby creating a more balanced market dynamic. This could even replace the current, ad-based revenue models with a democratic data marketplace. In this new paradigm, these expressive non-dual objects determine the value of publicly-owned data, offering a more equitable distribution of digital wealth to the users that allow third-parties to partake in leveraging their data.
Resource allocation, too, gains from the inherent intelligence of these semantically-driven AI expressions. They possess the potential to harmonize global and local economies. Imagine a way for an AI to express the value of a local artisanal craft, connecting it with a global market that cherishes its uniqueness and cultural richness.
In the realm of professions, the reach of meaningful AI will be transformative and universal, serving as collaborators for scientists, fonts of creativity for artists and creators, and advisors for societal leaders, boosting the wellbeing of the communities they lead.
This isn't just an upgrade in processing power; it's a renaissance of the human spirit. With proper human-centric expressions reinforcing integrity and enriched feedback loops at the same rate at which content and data are created every day, the AI of the future will be able to understand complex concepts like emotion–or even spirituality, enabling people to express themselves creatively, regardless of technical skill, while fostering empathy and resilience.
AI informed by augmented semantic resolution offers a dual promise: First, it elevates AI personalization, deepening its understanding and adaptability in real-time. Second, it has the potential to democratize and harmonize economic systems by infusing transactions and data ownership with layers of meaningful interconnected values into a global scale neural network that serves the collective whole while optimizing individual nodes. Through these groundbreaking capabilities, we may be on the brink of entering an era of human-centered AI abundance and equitable digital economies.
