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Make Sure to Include Your OATS in Your AI Diet: A Framework for Ethical AI Advancements

By Andrew J Thompson • Mar 15, 2024

The Landscape of AI Ethics

By Andrew J Thompson

Board Advisor, Ethicable.AI 


In the rapidly evolving landscape of artificial intelligence (AI), most people recognize that ethical considerations should play a crucial role in ensuring that technological advancements align with principals of moral behavior and promote the well-being of individuals and communities. 


One framework that encapsulates these ethical tenets, especially in the context of large language models, is OATS – Oversight, Accountability, Transparency, and Safety. This framework not only underscores the fundamental principles of ethical AI but also incorporates essential concepts such as Privacy and Security to create a comprehensive approach towards responsible AI development and deployment. 


Oversight 

The first pillar of the OATS framework emphasizes the importance of governance and regulatory oversight in AI development and deployment. Oversight mechanisms should involve multi-stakeholder collaboration, including government agencies, industry experts, ethicists, and civil society organizations, not to mention any and all users of AI technologies who desire to participate in the conversation. The stakeholders contribute diverse perspectives and ensure that AI technologies adhere to ethical guidelines and legal frameworks. Additionally, oversight bodies should establish clear guidelines for data collection, algorithmic decision-making, and accountability mechanisms to prevent misuse or harmful outcomes. 


Accountability 

Accountability is a core principle in ensuring that AI systems are held responsible for their actions and outcomes. This includes accountability for both the developers and users of AI technologies. Developers should adhere to ethical guidelines throughout the AI lifecycle, including data collection, model training, and deployment. They should also implement mechanisms for auditing and explaining AI decisions, especially in high-stakes applications such as healthcare and criminal justice. On the user side, organizations and individuals using AI systems should be accountable for the ethical use of these technologies, including mitigating biases, ensuring fairness, and addressing potential harms. 


Transparency  

Transparency is key to building trust and understanding in AI systems. Transparency encompasses several aspects, including transparency in data sources and collection methods, transparency in algorithmic processes and decision-making, and transparency in the intentions and goals of AI applications. Developers should strive to make AI systems explainable and interpretable, enabling users and stakeholders to understand how decisions are made and identify potential biases or errors. Transparent AI fosters accountability, facilitates informed decision-making, and empowers users to engage critically with AI technologies. 


Safety 

Safety is paramount in AI development, encompassing not only physical safety but also psychological, social, and ethical safety. AI systems must be designed with safety considerations from the outset, including robustness to adversarial attacks, mitigation of unintended consequences, and protection of user privacy and security. Safety also extends to ensuring that AI technologies do not perpetuate harm or discrimination, especially in sensitive domains such as healthcare, education, and employment. Robust testing, validation, and continuous monitoring are essential to ensuring the safety and reliability of AI systems. 


 

Privacy and Security   

Beyond the immediate OATS framework, Privacy and Security are integral components that intersect with Oversight, Accountability, Transparency, and Safety. Privacy entails protecting individuals' personal data, ensuring consent and control over data usage, and minimizing risks of data breaches or unauthorized access. Security involves safeguarding AI systems from cyber threats, ensuring data integrity and confidentiality, and implementing secure infrastructure and protocols. Privacy-enhancing technologies (PETs) and robust cybersecurity measures are essential to addressing privacy and security concerns in AI applications. 


Some vital considerations already arising and appearing in cases that have come before courts in the US, include: 

  1. Misuse of AI as a resource to provide background research and citations for legal work and in academia, and 
  2. The potential to use AI in order to infringe upon the copyrights of artists in producing and publicizing images. 
  3. The impact of Github code sharing on the exploitation of data security with respect to generative LLMs. 


As regards the former, the biggest problem as it stands today is AI’s underperformance in terms of its ability to accumulate research data. It’s worthy of note that legal databases contain much more and more readily accessible case and statutory data for use in understanding the precedents and reasoning behind court decisions. 


The present LLM capabilities fall far short of those that should be available in coming months or years in terms of the deposits of data they will have the ability to access. But we will not know the degree to which AI will improve its reliability as a research tool in the law until we get there. 


The second concern is not only valid, but poses a much more serious, early threat to privacy and security when AI is generating images, in particular, and all visually produced data in general. Cases are in different stages of litigation that will seriously impact the boundaries around the use of AI to create depictions of figures in online formats. This is one area where collaborative oversight, government working with the private sector, will be vitally needed to protect content creators from the exposure of their property rights to machine learned access to them. 


Both of the above are heavily impacted by the existence and ubiquitous usage of Github, which enables the sharing of pre-exisitng software code, no matter who created it. The secret sauce in software is no longer the lines of code, it is the knowledge, understanding and capacity to manipulate code, as a tool, rather than as an outcome in and of itself. 


As AI technologies continue to advance, it is imperative to uphold ethical standards and values to harness the potential benefits of AI while mitigating risks and harms. The OATS framework provides a structured approach for integrating Oversight, Accountability, Transparency, and Safety principles into AI development and deployment, with Privacy and Security serving as foundational elements. By adhering to these ethical tenets and promoting responsible AI practices, we can foster trust, fairness, and community benefit in the AI-powered future. 


This is a moment where every one of us has the opportunity to participate in the conversation that will certainly impact the next generation of software technology and users’ ability to take advantage of the great new frontier of technology AI brings to bear. 


Andrew Thompson is the founder of Landmark Advisors, providing consulting, educational and other advisory services to technology-based startup companies providing AI, medical, healthcare, agricultural and manufacturing services to their customers worldwide. 

By Andrew Thompson 12 Apr, 2024
As a longtime consultant to entrepreneurs and startup founders at Landmark Advisors , not to mention a student of ancient scripture, one of the areas that fascinate and drives my efforts for funding and innovation most, is the prospect of improving human health. My interests lie both in the arena of increasing longevity as well as improvements to the quality of life of individuals as they occupy planet earth, and I see these two goals marching forward together rather than in conflict, at least most of the time. In this article, my focus lies more directly on longevity, as it provides a more objective target and there is more historical data from which we can discern what can be done to continue the progression. In the future though, I will dive into topics that address quality of life ("QofL") factors on their own terms, as I find this equally fascinating and of general concern to the human population at large. There are many ways to consider the possibility frontier, history and the hope for human longevity. Because our earliest recordings of human lifespan come from the ancient texts of the Hebrew scriptures, those texts are a great place to start. From Ancient Times to the Present This article is meant to encourage greater entrepreneurial thought around medical advancement and the capacity of for people to live their lives more abundantly, and not meant as an apologetic of Christian or Judaic faith, but as a good frame of reference for this discussion, it's helpful to consider that the patriarchs of the book of Genesis were said to have had very long lifespans compared with today, and then wihin several generations of the longest lifespans ever recorded few, if any people were living beyond the age of 100 years. Today, we see more people living beyond the age of 100 than at any time since teh earliest recorded human histories, but again, almost none are living beyond 120. Nonetheless, the prophets of the Old Testament found reason to believe that this would not always be the case, and the prophet Isaiah, in particular, didn't hesitate to proclaim what he foresaw for the future of human longevity. Interpreting Isaiah 65:20 In the Bible, Isaiah 65:20 mentions people living to be "100 years old," a verse often interpreted symbolically by Christian scholars as a sign of blessings and abundance, but not a literal increase in longevity. Hank Hanegraaff , a prominent Christian apologist, has discussed this verse in the context of biblical prophecy and its symbolic representation of a blessed and fulfilling life. It is difficult to find respected scholars who view this passage as meant to have a literal application, on the other hand, some who interpret it more figuratively seem to suggest that it foreshadows improving life expectancies and better health. In order to resolve an inherent contradiction in this passage, one must either conclude that there is an incremental progression of longevity as the cosmos approaches the new heavens and new earth (the "Whole of Scripture"), or that within the new heavens and new earth, there are people who still die, even if at a hundred years of age (the "Sudden Change"). In the context of Bible scholarship, the latter seems to make no sense. There is a near universal acceptance in the interpretation of the Bible that once the new heavens and earth are fully consummated, there shall or at least maybe a final judgment, but whatever death will occur at that time, the process of aging and death thereafter, will cease. "The last enemy to be defeated is death", etc. This is important because it creates a promise from the ancient scriptures that, understood from the Whole of Scripture, prophesies precisely what has been occurring in the last hundred years of human existence. Revisiting the Genesis Genealogies The genealogies in the book of Genesis, including Methuselah's 969 years, are subject to many different interpretations. Scholars like Dr. Elizabeth Johnson, who favors a symbolic approach to understanding the ages of Bibe patriarchs, suggest these ages may represent the importance of individuals rather than their literal lifespans, however, there is little evidence of how that importance would have been discerned over and against a description of the actual life span thought to be known for each of the patriarchs. Some scholars do debate, however, debate the reasons for a pattern of decreasing life expectancies in Old Testament times. Factors like environmental changes, dietary shifts, and genetic influences could have contributed to variations in lifespans over generations. The general theological supposition about this pattern is that sin had an impact over time that eventually settled in and hit a natural bottoming out, according to God's providence. Historical Stagnation in Life Expectancy Throughout history, factors like infectious diseases, limited medical knowledge, poor nutrition, and high infant mortality rates contributed to stagnant life expectancy, highlighting the challenges of the past. Infectious Diseases: Infectious diseases have historically been a significant contributor to mortality and reduced life expectancy. Documentation from sources like historical medical records, epidemiological studies, and anthropological research showcases the impact of diseases like tuberculosis, smallpox, cholera, and influenza on population health and life expectancy. Research studies provide insights into how diseases shaped human populations and life expectancy over time. Limited Medical Knowledge: Limited medical knowledge in earlier centuries meant that many illnesses and conditions were poorly understood and often untreated. This lack of medical understanding led to higher mortality rates and shorter life expectancies. Historical documents, medical journals, and scholarly articles on the history of medicine offer documentation of the evolution of medical knowledge and its impact on improving life expectancy. Poor Nutrition: Poor nutrition, including inadequate access to nutritious food, deficiencies in essential nutrients, and periods of famine or food scarcity, has been a significant factor in reduced life expectancy. Published studies highlight the link between nutrition and health outcomes throughout history. High Infant Mortality Rates: High infant mortality rates, often due to factors like infections, lack of prenatal care, and poor sanitation, have historically contributed to lower life expectancies. Historical demographic data, mortality records, and studies on child health and survival rates provide evidence of the impact of infant mortality on overall life expectancy averages. By examining historical data, medical literature, and demographic studies, we can gain a comprehensive understanding of how factors such as infectious diseases, limited medical knowledge, poor nutrition, and high infant mortality rates have historically influenced life expectancy trends. Revolutionizing Life Expectancy in the 20th Century Advancements in medical technology, sanitation, clean water access, the use of antibiotics and improved nutrition led to a dramatic rise in life expectancies globally during the 20th century. For most of human history, it’s been estimated that global life expectancy at birth has bounced between 20 and 30 years. Beginning approximately in the year 1820, global life expectancy started its exponential ascent, seeing its most impressive gains after 1950 as modern sanitation and medical advancements began to trickle down to developing nations. Navigating 21st Century Challenges Despite progress, the 21st century faces obstacles such as antimicrobial resistance, rising chronic diseases, healthcare disparities, environmental issues, and global pandemics, impacting life expectancy improvements. During the pandemic, the US saw declining life expectancies for consecutive years, 2020 and 2021, while making a comeback in 2022. It's too early to conclude that this, while directly, is simply a result of the pandemic, or if a reduction was more predictable regardless of the pandemic itself. The two biggest issues connected with longer term trends toward a decrease in life expectancy, however, appear to be mental health and chronic disease, especially diabetes, heart disease and cancer. If you consider mental health to be one of many forms of chronic disease, then every factor contributing to decreasing life expectancies is related to chronic disease. By focusing efforts at improvements in treatment, and most importantly, prevention of these conditions, there is a high probability we can eliminate the negative pressure on life expectancies and return to a long term trajectory of increased life expectancy. Promising Developments for Increased Longevity Exciting advancements in medical technologies, genetics, nutrition research, and healthcare infrastructure, especially in developing nations, provide optimism for extending human life expectancies. We will be developing a series of articles addressing significant innovations that continue to impact both longevity and quality of life as we continue adding content on this subject. There are other remarkable achievements in healthcare: breakthroughs in cancer treatments, cardiovascular disease management, and medical device technology that far exceeds earlier capabilities in all of these areas. All of these advancements in care and prevention have contributed significantly to longer and healthier lives, particularly in regions like Asia and even on the continent of Africa. Anticipating the Future The next 25 year period holds great promise with ongoing medical research, preventive healthcare emphasis, global healthcare accessibility improvements, and efforts to address environmental and social health determinants, potentially extending human life expectancies further. We predict that by 2050, the US will have a life expectancy at birth of between 80-85 years, and that longevity increases in other parts of the world will be even greater than they will be here, more than 10%, for example, in Africa, Latin America and parts of Asia. Conclusion: A Bright Outlook The journey of human longevity reflects a blend of interpretations, scientific advancements, and societal progress. While challenges persist, the trajectory toward longer, healthier lives offers hope for a brighter future, both literally and symbolically. For more information or to discuss scaling an innovative health technology, please contact Landmark Advisors to get started.
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