Unlock the Future of Well-being with Design By Zen's Comfort Index and AI-Powered Insights. Watch an insightful & entertaining view on AI effects. Wellness is addressed at the 52 minute mark. Introduction Imagine if you could embark on a journey through time, peering into the future to witness the long-term effects of your daily habits on your well-being. With the advent of the innovative AI-powered Comfort Index model, this concept is no longer a mere thought experiment but a tangible reality. This groundbreaking tool, harnessing the power of machine learning and artificial intelligence, provides real-time feedback on an individual's well-being and predicts future health outcomes based on current actions. Would you make different choices today if you knew their impact on your future well-being? With the predictive Comfort Index model, this concept is no longer a mere thought experiment. By leveraging machine learning & AI assistance, I created working alpha components this week. This intention is to provide real-time feedback on well-being & predicts future states based on current actions. This model can be a personalised health dashboard, providing insights to guide individuals & industries towards improved health outcomes. The Essence of the Comfort Index Model At the heart of the Comfort Index model lies its ability to simulate the long-term impact of current choices . By comparing data from two virtual computers, one operating in the present and the other set 30 years into the future, the model unveils a holistic perspective on how small daily habits can significantly shape one's health and well-being over time. This predictive capability empowers individuals to make informed decisions about their health by providing a window into the future consequences of their current actions. By understanding the long-term implications of their choices, individuals can proactively adopt healthier habits and lifestyle practices, ultimately leading to improved well-being and reduced healthcare costs. Extending the Impact Beyond Personal Wellness The potential of the Comfort Index model extends far beyond individual use, holding immense promise for industry-wide health initiatives. By providing companies with insights into the factors that contribute to employee well-being, the model enables organisations to develop targeted interventions that enhance the health and productivity of their workforce. This comprehensive approach to health management can lead to a healthier and more engaged workforce, reduced absenteeism, and improved employee morale, all of which contribute to a stronger, more resilient organisation. Unlocking the Power of Personalised Insights The Comfort Index model serves as a personalised health dashboard, providing individuals with a comprehensive overview of their well-being. This dashboard aggregates data on various aspects of health, including sleep quality, stress levels, heart rate variability, and other biometrics, to generate a holistic assessment of an individual's current state of well-being. By understanding the interplay between these factors and their impact on overall comfort levels, individuals can identify areas for improvement and make informed decisions to optimise their health. The Transformative Power of AI-Driven Well-being The Comfort Index model stands as a transformative tool in the field of personalised healthcare. Its ability to provide real-time feedback, predict future health outcomes, and simulate long-term consequences makes it a powerful instrument for promoting individual and collective well-being. As AI continues to evolve, the Comfort Index model has the potential to become an indispensable tool for individuals and organisations seeking to enhance their health and well-being. By providing actionable insights and empowering informed decision-making, the AI-powered Comfort Index can pave the way towards a healthier and more resilient. But what are the things we can measure & manage? This recent video from the BioHacking Conference explains the subjects that could be part of the back ground processes. These bio markers could have a Comfort Index each to check daily balance & orientation. Leslie Kenny's life was turned upside down when she was diagnosed with lupus and rheumatoid arthritis in her 30s. When her doctors told her lupus had a life expectancy of 5 years and that rheumatoid arthritis could only be managed, not cured, she set out to optimise her health as best she could using safe, natural solutions. Conclusion The Comfort Index model represents a significant step forward in the pursuit of personalised healthcare and collective well-being. Its ability to provide real-time insights, predict future health outcomes, and empower informed decision-making holds immense potential for improving the lives of individuals and societies as a whole. As AI continues to evolve, we can expect to see even more innovative applications of this groundbreaking technology, further shaping the future of health-span and well-being. ______________________________________________ Author Bio: David W. Harvey, CEO of Design By Zen, merges 42 years of IT and high-tech design expertise with groundbreaking innovation. Inventor of the DBZ Comfort Index, Holistic Objectives algorithm, and the pioneering Social Harmony Ecosystem or Engine -SHE ZenAI architecture, David's work also includes the world's first intelligent earthquake table -EQ1. Holder of multiple international patents, his professional excellence parallels a fervent interest in exotic cars & simulation engineering. Off-screen, David finds balance in cultivating a Zen garden, reflecting his philosophy of harmony in technology and life through art.

People-Centered AI: Insights from Dr. Emily Corrigan-Kavanagh Doctor Emily Corrigan-Kavanagh gave an insightful talk published on the TEDx channel in June 2022. The discussion delved into the basics of well-being utility functions with AI, especially using sound for sensor identification and predicting potential outcomes. Table of Contents People-Centered AI: Insights from Dr. Emily Corrigan-Kavanagh AI for Well-being: Key Insights Aligning with Design By Zen Design By Zen Philosophy: Embracing People-Centered AI Dr. Emily Corrigan-Kavanagh's Deep Dive into AI for Well-being Reflecting on the Importance of People-Centered AI and the Design By Zen Philosophy Key Points Resonating with Design By Zen Philosophy Dr. Emily emphasized the necessity of focusing on the people interacting with AI systems. Her approach promotes the idea of designing AI specifically for well-being, ensuring people are at the core of all AI-driven products and services. This idea aligns seamlessly with the Design By Zen philosophy. Highlighted Quotes: "We need to focus on the people that will interact with the AI system to create people-centered AI." "There exists great potential for design experts and AI experts to work together to create people-centered AI." "People said that this new technology could help you sleep or relax more at home but could also improve about collaborative and reflective work in the office place. AI's Impact on Well-being The journey towards emphasising well-being through technology has evolved over the years. Starting in 2012 with the aftermath of the Christchurch earthquakes, the path moved towards incorporating wearable bands in 2018. The importance grew during the Covid-19 lockdowns in NZ, especially considering the elderly population. AI's introduction to public awareness in late 2022 changed the dynamic even further. Initiatives like the ADA app in 2019, assisted by AI for healthcare, showcased the potential of AI in the medical domain. ChatGPT, Stable Diffusion, and Mid Journey image generators have set public expectations. With Microsoft introducing AI to the corporate domain with Bing and the 365 Suite enhancements in Q1 2023, the emphasis on well-being has never been clearer. SHE Zen AI stands as a testament to this journey, emphasizing well-being and reflecting the daily mantras of "Am I ok?" and "how will I know?" as one progresses in age or interacts in any simulated, metaverse, or AI-driven environment. Dr. Corrigan-Kavanagh's Full Transcript The complete transcript of Dr. Emily's talk, as presented in the YouTube video, is given below: Dr. Corrigan-Kavanagh's transcript of YouTube video, : "Artificial intelligence, or AI is changing our world. Alexa can recognize your speech, Facebook can recognize the faces of your friends, and machines are beginning to help us diagnose, but how can we get AI to do what we wanted to do? How can we design AI for well-being? Well, AI is smart, but it's not very clever; we can show it lots of examples of things, and it can become quite good at recognizing similar things such as birds, trees dogs, at least most of the time if we showed lots of examples of similar things through what's called training data it can learn to recognize patterns and make predictions such as predict future weather, the progression of diseases, the language of spoken speech, sometimes even better than people can, but there is a catch AI is only as good as the data that it's trained on. Now training data basically consists of a large data set that's used to teach AI systems how to recognize patterns and make predictions about the things that we've just discussed; training data can consist of text, images, video, and this is labelled to make it recognizable and understandable to the machine through this training data. AI can be given the answers to a given problem by including corresponding labels to the answers within the data set, such as what a bird looks like or how a disease might progress. So with the right data, it works great but with the wrong data, we can end up with a lot of problems; for example, the speech recognizer in Alexa might never understand my voice commands if it had only been trained on data containing without containing Irish accents. Someone could be rejected from a loan because their surname is spelled differently to the names used in the training data. Or a facial recognition system might not recognize faces of a certain skin color if it had only been trained on images containing white or black faces, so we need to challenge how AI is designed rather than focusing on the data that interacts with the AI system that will interact with the people. We need to focus on the people that will interact with the AI system to create people-centered AI. I, therefore, propose a new approach to designing AI for well-being called essentially designing AI for well-being to put people at the heart of new products services supported by AI systems. Now designers and design researchers have been working for some time to put people at the heart of new of new products, services and architectural designs. So why not AI? There exists great potential for design experts and AI experts to work together to create people-centered AI. As a design researcher I've been working alongside design experts to develop future AI for sound technologies, particularly those for the home and workplace. Before we went out and gathered any data, I asked people how should we develop future AI for sound technologies. So what did people say about future AI for sound technologies? Should they be confined or reduce mechanical noise, such as the sound of heavy machinery on building sites or noisy appliances in the home -think of blenders & drills. Future AI for sound technologies should remove unwanted sounds from residential areas, such as the sound of heavy traffic or the sound of multiple dogs barking, for example, future. AI for sound technologies should enhance or include pleasant sounds, things like the sound of nature rustling of leaves, bird songs, or running water. People said that this new technology could help you sleep or relax more at home but could also improve about collaborative and reflective work in the office place. Now people have their own ideas about how this future technology should be shaped. And one such idea was to create an AI system that could recognize employees' emotions and could then suggest personalized listening experiences to either enhance or suit their moods. Another idea was to create a network of sound sensors in residential areas that would capture and record emerging sounds as they as they happened and it would allow local residents to submit live feedback about how they felt about those sounds. That feedback could then be used towards government regulation of planning and development but also construction sounds to reduce noise annoyance to local residents. Now all we don't yet know how we will create these future technologies we now understand the needs that underpin them and we're beginning to understand the types of data we will need to gather in order to create these future technologies. This is just the beginning of designing AI for well-being; we still need to find new and innovative ways to engage people throughout the design process of these new ai systems so that they're created with their needs and well-being in mind AI is changing our world but designing ai for well-being will positively transform it. Thank you" end quote Conclusion AI's potential in shaping well-being is undeniable. As Dr. Corrigan-Kavanagh's talk suggests, it's imperative to create AI systems that are centred around people. The alignment of her philosophy with Design By Zen's vision underscores the importance of well-being in the ever-evolving world of AI. References & Citations: Dr. Emily Corrigan-Kavanagh's TEDx talk, June 2022 SHE Zen AI research papers and documents ______________________________________________ Author Bio: David W. Harvey, CEO of Design By Zen, merges 42 years of IT and high-tech design expertise with groundbreaking innovation. Inventor of the DBZ Comfort Index, Holistic Objectives algorithm, and the pioneering Social Harmony Ecosystem or Engine -SHE Zen AI architecture, David's work also includes the world's first intelligent earthquake table -EQ1. Holder of multiple international patents, his professional excellence parallels a fervent interest in exotic cars & simulation engineering. Off-screen, David finds balance in cultivating a Zen garden, reflecting his philosophy of harmony in technology and life through art.

When is one ecosystem enough, and why use the Social Harmony Engine - SHE Zen AI? Sound familiar? I am encountering difficulties in various aspects of my life, including work, professional relationships. Managing my IP repository on Github, home management, running my business operations, using cloud apps, and navigating my digital life, which involves storing information, browsing the web, using financial services, and enjoying leisure time. Additionally, I am worried about the potential consequences of Big Tech's artificial intelligence having direct access to my health data providers and managing them as a single entity. Convenience or simmering catastrophe? Now, if I said, how would you feel if everything was monitoring how you felt when you typed it or how you spoke to an app? What if I suggested the movement of your body was also generating data, and you probably don't own the data generated under this patent? [1] "Rumi" I have a problem with my physical body domain assumed a big tech commodity. Given the company's appalling security record, how could this go wrong? [2] Too many eggs in one basket? It's not limited to Microsoft; Apple has had my money for 20 years buying the "essentials." I'm happy! My opinion is we have become addicted to the "I Agree" in return for the use of the software that also gave the rights to the supplier. I wasn't very comfortable with the video, but it's the reality versus the glitz that our biases desire. Secondly, I think the last line sentence should ring alarm bells as empty justifications - quote, "A lot of users everywhere complain that AI somehow lacks a human soul, but this technology will allow AI to come as close to a human as possible, for now." end quote. What big tech company has the company ethos "To enrich our User's soul above managing the Share and Option holder value." ? Here is the text from the Rumi project site. "Microsoft Project Rumi is a new large language model (LLM) AI that is capable of handling paralinguistic input when interacting with others. This means this AI model will see your facial expressions, your voice tone, your gestures, and your eye movements and will form an idea about the attitude of your interaction. Microsoft Project Rumi comes to address the current limitations of AI when interacting with a human person. For example, a text-only-based conversation with Bing Chat won’t be enough for Bing to actually see your facial expressions when addressing it. It won’t be enough to form an answer that could also respond to your attitude. It’s true, Bing Chat can get very creative sometimes, and when you’re using certain words, the tool will provide a sensible answer, more or less. But ultimately, it can’t answer you properly, since it’s not seeing and hearing you." But now, thanks to Microsoft Project Rumi, the AI languages will use your device’s microphone and camera, with your permission, of course, to actually hear you and see you. And based on your complex input, which includes your facial expressions, tone of voice, and so on, the AI model will answer you back accordingly. Microsoft Project Rumi, like multiple other Microsoft AI projects, is a breakthrough in AI technology. A lot of users everywhere complain that AI somehow lacks a human soul, but this technology will allow AI to come as close to a human as possible, for now." Now read this in conjunction with the 2018 US / 2019 world Wide Patents granted & examine a few question & answers to consider. I explain how SHE ZenAI's approach is an alternative for special few. Quote from the US 2018 & WTO 2019 Patent Summary Quote "[0005] Some exemplary embodiments of the present disclosure may use human body activity associated with a task provided to a user as a solution to“mining” challenges in cryptocurrency systems. For example, a brain wave or body heat emitted from the user when the user performs the task provided by an information or service provider, such as viewing advertisement or using certain internet services, can be used in the mining process. Instead of massive computation work required by some conventional cryptocurrency systems, data generated based on the body activity of the user can be a proof-of-work, and therefore, a user can solve the computationally difficult problem unconsciously. Accordingly, certain exemplary embodiments of the present disclosure may reduce computational energy for the mining process as well as make the mining process faster." end quote [2] Q1: What is Microsoft Project Rumi, and how does it change the landscape of AI and personal interaction? Why is SHEGPT Zen AI better? Project Rumi represents a significant shift toward a more intuitive AI, but it's not without challenges. It underscores the need for alternatives that prioritise ethical considerations. This is where boutique solutions like SHE ZenAI come into play. By focusing on the Guidance & Consensus mechanism within the Hyfron Approach, SHE Zen AI aims to balance technical excellence with a commitment to reducing suffering, increasing prosperity, and understanding — ideals that may be compromised when market dominance is the driving force. Q2: How does wearable technology like Project Rumi impact personal privacy and data security? Project Rumi's advancements underscore a new era where our devices understand more than ever before. However, they also bring to light concerns around continuous monitoring and data privacy. "SenseMe" is a pivotal work in this domain, demonstrating that on-device and multi-dimensional context recognition can be achieved without user calibration, raising the bar for privacy-preserving technologies. As described by Bhargava et al. (2014), systems that recognise a user's context unobtrusively pave the way for more personal and relevant user experiences while also introducing concerns about the potential for constant surveillance. [2] Q3: Who are the major players in the wearable technology patent space, and what does their dominance imply for the industry and consumers? The dominance of key players in wearable tech patents signals a trend toward consolidated innovation. However, boutique tech, exemplified by SHE Zen AI, presents a compelling counter-narrative. Smaller entities often drive specialised innovation, focusing on user empowerment and ethical standards, presenting a stark contrast to the "one-size-fits-all" approach that can stem from market dominance. Q4: Can you tell us more about the "SenseMe" white paper and its implications on privacy with wearable tech? In 2018 I found the "SenseMe" white paper offers an insightful analysis into the potential and pitfalls of context-aware systems. [3] The system, conceptualised by Bhargava, Gramsky, and Agrawala (2014), showcases the capability of smartphones to harness multiple sensors for accurate context and activity recognition, which informs the design principles of boutique solutions like SHE Zen AI. This baseline technology, if leveraged responsibly, aligns with the Hyfron Approach's Heuristic Imperatives and Holistic Objectives, offering a paradigm where user comfort and privacy are paramount . The Algorithms at Work white paper of 2019 [4] also, I feel, lays the historical stepping stones for our case of consideration and caution. We have mind mapped these as we see the solutions or considerations in an infographic in the About and SHEGPT ZEN AI page. Conclusion: To sum up, while big tech continues to push the frontiers of AI with projects like Rumi, there is an essential place for boutique tech solutions that emphasise technical excellence and ethical integrity. SHE Zen AI embodies this by offering a holistic, user-centric alternative that seeks to harmonise technology with human values, ensuring that advancements in AI and wearable technology align with the imperatives of reducing suffering, increasing prosperity, and enhancing understanding. Rolling forward legacy technology with vulnerabilities from the 1980's such as expired security certificates as I found in an out of the box fresh OS scan will be found out and exploited by automation. So who are the dominate Holders of Wearable Technology Patents from (2002 - 2022) Industry: Technology, Media and Telecom With 3,716 Wearable Tech related patents published between 2002 and 2022, Samsung Group holds the most number of Wearable Tech patents in the global Technology, Media and Telecom sector, of which 91.4% was contributed by its subsidiary Samsung Electronics Co Ltd. The second largest number of Wearable Tech related patents were published by Apple Inc with 2,973 patents. The third largest number of Wearable Tech related patents were published by Sony Group Corp with 2,523 patents. The fourth largest number of Wearable Tech related patents were published by Alphabet Inc with 2,175 patents, of which 63.9% was contributed by its subsidiary Google LLC. The fifth largest number of Wearable Tech related patents were published by Microsoft Corp with 1,860 patents, of which 87.9% was contributed by its subsidiary Microsoft Technology Licensing, LLC. The top five patent holders, i.e., Samsung Group, Apple Inc, Sony Group Corp, Alphabet Inc, and Microsoft Corp, together held 13,247 Wearable Tech patents during the period. SHE ZenAI Hub: To learn more about how SHE Zen AI is paving the way for ethical AI solutions that respect your privacy and agency, visit the SHE Zen AI Hub page. Join us in this important discussion and be part of a community that values innovation with integrity. References & Citations [1] US 2018 then Worldwide WTO Patent for [Cryptocurrency system using body activity data] , 2019 [2] Microsoft Security record [https://firewalltimes.com/microsoft-data-breach-timeline/] [3] SenseMe: a system for continuous, on-device, and multi-dimensional context and activity recognition. International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. DOI:10.4108/ICST.MOBIQUITOUS.2014.257654 [Bhargava, P., Gramsky, N., & Agrawala, A. (2014).] [4] Algorithms at Work: Productivity Monitoring Applications and Wearable Technology as the New Data-Centric Research Agenda for Employment and Labor Law [Ifeoma Ajunwa, Summer 7-9-2019] [5] Top global patent holders source information; Global Data.com ______________________________________________ Author Bio: David W. Harvey, CEO of Design By Zen, merges 42 years of IT and high-tech design expertise with groundbreaking innovation. Inventor of the DBZ Comfort Index, Holistic Objectives algorithm, and the pioneering Social Harmony Ecosystem or Engine -SHE Zen AI architecture, David's work also includes the world's first intelligent earthquake table -EQ1. Holder of multiple international patents, his professional excellence parallels a fervent interest in exotic cars & simulation engineering. Off-screen, David finds balance in cultivating a Zen garden, reflecting his philosophy of harmony in technology and life through art.

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