Ai Ethics Quotes

Doing no harm, both intentional and unintentional, is the fundamental principle of ethical AI systems.

Doing no harm is the first principle of ethical AI system.

Artificial intelligence is defined as the branch of science and technology that is concerned with the study of software and hardware to provide machines with the ability to learn insights from data and the environment, and the ability to adapt to changing situations with increasing precision, accuracy, and speed.

One of the key roles of an ethical AI system is to protect humanity from air pollution and ensure pure and healthy air for the next generation to breathe.

Artificial intelligence is defined as a machine's ability to automatically learn, adapt, and solve complex problems with increasing precision and performance that benefit society.

Artificial intelligence has many bigger roles to play for environmental sustainability, energy recycling, and pollution prevention.

An ethical AI system must have a high level of traceability so that any damage done can be traced back to its source and rectified.

The principles of ethical AI systems are more focused on reducing carbon footprints and improving socio-environmental sustainability.

The basic guidelines of an ethical AI system refer to those values which can be implemented at the core of every AI algorithm to bring out the safety, security, and fundamental goodness of artificial intelligence for all beings and human society at large.

LLMs represent some of the most promising yet ethically fraught technologies ever conceived. Their development plots a razor’s edge between utopian and dystopian potentials depending on our choices moving forward.

Ethical AI systems aim to end the practice of using people from low-income backgrounds as test subjects in clinical trials and also support their equal rights in patent claims and revenue generation from the medicines.

The promise of artificial intelligence for achieving sustainable development goals needs comprehensive safety and ethical standards and protocols.

The ethical integration of artificial intelligence with human values and emotions is the foundation of future artificial intelligence.

For businesses, it is vital to embed ethical checkpoints in workflows, allowing models to be stopped if unacceptable risks emerge. The apparent ease of building capable LLMs with existing foundations can mask serious robustness gaps. However unrealistic the scenario may seem under pressure, responsible LLM work requires pragmatic commitments to stop if red lines are crossed during risk assessment.

The lack of transparency regarding training data sources and the methods used can be problematic. For example, algorithmic filtering of training data can skew representations in subtle ways. Attempts to remove overt toxicity by keyword filtering can disproportionately exclude positive portrayals of marginalized groups. Responsible data curation requires first acknowledging and then addressing these complex tradeoffs through input from impacted communities.

The value-driven AI rests on four pillars: human safety and human rights; strong ethical and unbiased legal systems; morality-driven media; and morality-based business and research. They complement each other.

The ethical integration of artificial intelligence with human values and emotions will form the foundation of future artificial intelligence.

Ethical artificial intelligence is concerned with benefiting humanity, doing no harm to humanity, and respecting human values and preferences.

Ethical AI system principles are more focused on lowering carbon footprints and improving socio-environmental sustainability.

Artificial intelligence has many roles to play to achieve the 17 Sustainable Development Goals, particularly in healthcare and the protection of humanity.

Doing no harm and uplifting human freedom, values, and rights are the core aspects of ethical AI systems

Human-level AI is defined as adaptable systems that can not only learn and do complex tasks but also behave in a social manner similar to that of civilized humans.

Future artificial intelligence is more focused on compassionate, caring, and creative intelligence than just hard intelligence.

Eventually, I developed my own image of teh "befriending" impulse behind my depression. Imagine that from early in my life, a friendly figure, standing a block away, was trying to get my attention by shouting my name, wanting to teach me some hard but healing truths about myself. But I-- fearful of what I might hear or arrogantly trying to live wihtout help or simply too busy with my ideas and ego and ethics to bother-- ignored teh shouts and walked away. So this figure, still with friendly intent, came closer and shouted more loudly, but AI kept walking. Ever closer it came, close enough to tap me on the shoulder, but I walked on. Frustrated by my unresponsiveness, the figure threw stones at my back, then struck me with a stick, still wanting simply to get my attention. But despite teh pain, I kept walking away. Over teh years, teh befriending intent of this figure never disapppeared but became obscured by the frustration cuased by my refusal to turn around. Since shouts and taps, stones and sticks had failed to do the trick, there was only one thing left: drop the nuclear bomb called depression on me, not with the intent to kill but as a last-ditch effort to get me to turn and ask the simple question, "What do you want?" When I was finally able to make the turn-- and start to absorb and act on the self-knowledge that then became available to me-- I began to get well. The figure calling to me all those years was, I believe, what Thomas Merton calls "true self." This is not the ego self that wants to inflate us (or deflate us, another from of self-distortion), not the intellectual self that wants to hover above the mess of life in clear but ungrounded ideas, not the ethical self that wants to live by some abstract moral code. It is the self-planted in us by the God who made us in God's own image-- the self that wants nothing more, or less, than for us to be who we were created to be. True self is true friend. One ignores or rejects such friendship only at one's peril.

Every piece of data ingested by a model plays a role in determining its behavior. The fairness, transparency, and representativeness of the data reflect directly in the LLMs' outputs. Ignoring ethical considerations in data sourcing can inadvertently perpetuate harmful stereotypes, misinformation, or gaps in knowledge. It can also infringe on the rights of data creators.

The heart of responsible medical research is algorithm-driven, adaptive, bias-free, open review processes rather than the traditional peer-reviewed medical research and publication processes.

Many presume that integrating more advanced automation will directly translate into productivity gains. But research reveals that lower-performing algorithms often elicit greater human effort and diligence. When automation makes obvious mistakes, people stay attentive to compensate. Yet flawless performance prompts blind reliance, causing costly disengagement. Workers overly dependent on accurate automation sleepwalk through responsibilities rather than apply their own judgment.

It’s amazing how many Noble Liars and their ilk are eager to embrace ethical violations—with all due bewailing of their agonies of conscience—when they haven’t spent even five minutes by the clock looking for an alternative.

In ethical AI system frameworks, the systems, the creators, researchers, organizations, governments, and international agencies should always behave and update their own internal moral compass in the most advantageous way for humanity.

... Ethical cyberexplorers are responsible, yeah? We are friendly ghosts in the machine, not poltergeists or hooligans. We are a growing breed. Over sixty-five percent of top-flight systems explorers are ethical." Ai gives Suga a black look. "And over eighty-five percent of all statistics are made up on the spot.

One of the primary responsibilities of an ethical AI system is to protect the environment and stop human violations on nature in the name of modernization and development so that future generations can keep breathing happily and live joyfully.

It is critical to recognize the limitations of LLMs from a consumer perspective. LLMs only possess statistical knowledge about word patterns, not true comprehension of ideas, facts, or emotions. Their fluency can create an illusion of human-like understanding, but rigorous testing reveals brittleness. Just because a LLM can generate coherent text about medicine or law doesn’t mean it grasps those professional domains. It does not. Responsible evaluation is essential to avoid overestimating capabilities.

For ethical AI systems, the question is, "Who decides what is ethical?" Well, starting from the developer, researchers, organizations, governments, and international bodies should always act according to their conscience and always in the best interests of humanity. Equal effort must be made to guarantee human safety, freedom, autonomy, and justice.

Ethics is the compass that guides artificial intelligence towards responsible and beneficial outcomes. Without ethical considerations, AI becomes a tool of chaos and harm.

AI algorithms should be tuned with human values, empathy, and a deep understanding of the consequences of their actions.

It’s a huge burden to live in a world where we don’t know how we’ve been physically changed and psychologically manipulated by an outside intelligence. p55

Humans have many limitations. The objective of compassionate artificial intelligence is to overcome those limitations in terms of honesty, integrity, compassion, and caring.

Ethics is the map that helps artificial intelligence make decisions that are good for people and the world. Without addressing ethics, AI can be cause of chaos and suffering for humanity.

Future artificial intelligence is more about uplifting human values, morality, and integrity. It is more about stopping the misuse of computing power and stopping human exploitation and suffering.

Humans have limitations due to selfish genes, competitive genes, and the fear-driving genes. The aim of compassionate AI is to overcome those limitations through service, care, compassion, honesty, and genuine love.

Human-level AI is defined by systems that are continuously improving and can not only do complex automatic tasks but also deal with complex life situations like caring, nourishing, inspiring, guiding, motivating, negotiating, keeping good relationships, and controlling diseases at a level similar to that of humans.

Automation promises to execute certain tasks with superhuman speed and precision. But its brittle limitations reveal themselves when the unexpected arises. Studies consistently show that, as overseers, humans make for fickle partners to algorithms. Charged with monitoring for rare failures, boredom and passivity render human supervision unreliable.

You can’t do AI-Ethics without Ethics.

Ethical AI systems aim to provide equal educational opportunities to students from low-income and high-income backgrounds.

The evolution of AI should always be guided by shared Human Values, the protection of human rights, and the survival of future generations.

Responsible data and complete transparency are the unbreakable shields in the realm of large-scale Ethical AI for protecting humanity and fostering growth.

Compassionate AI has many roles in achieving the United Nations' development goals, especially in healthcare and the protection of humanity.

The energy of youth, combined with the dynamism of science and compassionate AI, pushes for a better world and the protection of humanity.

Youth's energy, science's vitality, and compassionate AI can shape a society for a better world where equity, prosperity, and peace prevail.

The energy of youth, combined with the dynamism of science and compassionate AI, can lead to a better world of peace, prosperity, equity, and protection for humanity.

The real problem is not the existential threat of AI. Instead, it is in the development of ethical AI systems.

In the symphony of AI, let GPT be the rhythm, but always let human ethics be the lead.

Intelligence, emotions, ethics, and values are part of human intelligence; without those, we are far away from human-level AI.

Tomorrow’s leaders will be brave enough to scale the dangerous peaks of an increasingly competitive and ethically challenging mountain range. They will drive the problematic conversations that illuminate the valleys in between. T

As Artificial Intelligences become increasingly intertwined with the fabric of our existence, our solemn duty is to ensure they mirror the noblest aspects of our nature, forming a sacred union with the values that make us truly human.

As AI continues to evolve, we must ensure that it is developed and used in ways that are ethical, transparent, and beneficial to all. By fostering responsible AI innovation, we can build a better future for society and unlock the full potential of this transformative technology.

Ethical AI systems must learn not to discriminate or manipulate anyone based on race, color, religion, gender, age, national origin, marital status, social status, genetics, or medical information. Must understand its own misuse or misconduct limits and recertification mechanisms.

Human-level AI refers to AI systems that are designed not just to do complex automatic tasks but to solve complex life issues such as caring, nourishing, inspiring, guiding, motivating, negotiating, maintaining good relationships, and disease control at a level comparable to that of humans.

Mình thích mấy người làm việc gì cũng biết cách thoải mái vui vẻ, lúc không vui thì tạm nghỉ ngơi, nhưng đã làm thì phải tập trung và tận hưởng. Ai cũng có xu hướng tách bạch cuộc sống - công việc, nhưng như vậy thì chờ tới bao giờ mới sống? Thật ra công việc mình chọn chính là cuộc sống của mình rồi, vì nó chiếm gần hết thời gian trong ngày của mình. Nếu mình trừ nó ra thì thời gian sống của mình là lúc nào đây?

In the medium term, AI may automate our jobs, to bring both great prosperity and equality. Looking further ahead, there are no fundamental limits to what can be achieved. There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains. An explosive transition is possible, although it may play out differently than in the movies. As mathematician Irving Good realised in 1965, machines with superhuman intelligence could repeatedly improve their design even further, in what science-fiction writer Vernor Vinge called a technological singularity. One can imagine such technology outsmarting financial markets, out-inventing human researchers, out-manipulating human leaders and potentially subduing us with weapons we cannot even understand. Whereas the short-term impact of AI depends on who controls it, the long-term impact depends on whether it can be controlled at all.

Open source philosophies once promised to democratize access to cutting-edge technologies radically. Yet for AI, the eventual outcome of the high-stakes battle between open and closed systems remains highly uncertain. Powerful incentives pull major corporate powers to co-opt open source efforts for greater profit and control, however subtly such dynamics might unfold. Yet independent open communities intrinsically chafe against restrictions and centralized control over capacity to innovate. Both sides are digging in for a long fight.

This is one of the things that concerns me about AI. It seems increasingly likely that we will build machines that will seem conscious, and the effect could be so convincing that we might lose sight of the hard problem. It could cease to seem philosophically interesting, or even ethically appropriate, to wonder whether there is something it is like to be one of these robots. And yet we still won’t know whether they are actually conscious unless we have understood how consciousness arises in the first place—which is to say, unless we have solved the hard problem.

If you imagine a world of real abundance. Like a world where we built the right AI that's just pulling wealth out of the atmosphere and no one really has to work anymore, because we literally have machines that can build machines that can build machines, that are all powered by sunlight, that do everything better than we can. Now why wouldn't that be some kind of utopia? Well it wouldn't be a utopia because we have these very weird emotions, or many of us do, that make it seem like it would be wrong to spread the wealth around. Most people are living as though they want to live in a world where there's a few trillionaires living in compounds ringed by razor wire, and everyone else is sort of starving to death. It's like a winner take all scenario. And so, we have to find a new ethic whereby people are no longer—their purchase on existence is no longer justified by doing profitable work that other people will pay them for. In a world of true abundance you shouldn't have to work to justify your life. You should be free to enjoy the wealth of the world. If we are going to get to that place, we have to change our ethics around that.

We are suddenly showing unprecedented interest in the fate of so-called lower life forms, perhaps because we are about to become one. If and when computer programs attain superhuman intelligence and unprecedented power, should we begin valuing these programs more than we value humans? Would it be okay, for example, for an artificial intelligence to exploit humans and even kill them to further its own needs and desires? If it should never be allowed to do that, despite its superior intelligence and power, why is it ethical for humans to exploit and kill pigs? Do humans have some magical spark, in addition to higher intelligence and greater power, which distinguishes them from pigs, chickens, chimpanzees and computer programs alike? If yes, where did that spark come from, and why are we certain that an AI could never acquire it? If there is no such spark, would there be any reason to continue assigning special value to human life even after computers surpass humans in intelligence and power?

My greatest desire is to be human. In Islam, it is taught we are born man but we must evolve to be Human. To be human is to know compassion for others. to understand Ethics and morality, all of which we are born with but still must learn in practice.Our intellect does not make us human. Intelligence as shown that we separate ourselves more from humanity through our evolution of inventiveness than we have ever before. We depend on our gadgets to tell us to think and what to think. We have become servants of I-Phones and pads and computers and slaves to clocks that have now become our task master. We answer to alarms and "Tweets" and " FB Notifications like pavlovian dogs wagging our tails at each blip of a cybernetic announcement. We are further losing ourselves to technology that we thought would make our lives easier but has simply made it more complicated and filled it with less time for interaction with our fellow man because we have lost sight of verbal communication. Of being in eye contact with each other because our heads are leaning down into video screens and our ears are covered with sound buds.. We have become an extension of our devises when we should be an extension of each other in a real physical world and not the matrix of AI and computer stimuli we have become sadly slaves to. I want to be human and see the true smile of my friends and hear the real voice of their ideas and not typed words of color on a screen. I want to experience the knowledge of seeing my fellow men and woman talking verbally to each other and espousing real IDEAS and not merely replaying sound bytes hey have heard from the latest PROGRAMMING. I want to be HUMAN and know the Humanity of my brotherhood of HUMANS!

The separation of the fields of AI and human-computer interaction, or HCI, is partly a question of approach, but it’s also an ethical stance about designing humans either into or out of the systems we create.

Gosper had disdained NASA’s human-wave approach toward things. He had been adamant in defending the AI lab’s more individualistic form of hacker elegance in programming, and in computing style in general. But now he saw how the real world, when it got its mind made up, could have an astounding effect. NASA had not applied the Hacker Ethic, yet it had done something the lab, for all its pioneering, never could have done. Gosper realized that the ninth-floor hackers were in some sense deluding themselves, working on machines of relatively little power compared to the computers of the future — yet still trying to do it all, change the world right there in the lab. And

If space is cold and dead, technology can make it warm and alive. If the universe doesn’t care, we can do so ourselves through an essentially altruistic system of ethics. If flesh-sentients are intrinsically less capable of developing this system of ethics than machine intelligence, then the distant descendants of the first self-aware AIs to which we gave birth will take over the running of our society and leave us free to enjoy ourselves without doing harm to others. If the only godlike beings are self-upgraded sentients originally born out of the same muck as everyone else, the implication is that it is indeed possible for us to be better than we once were. And

For most of my adult life, I have been driven by an almost fanatical work ethic. I gave nearly all my time and energy to my job, leaving very little for family or friends. My sense of self-worth was derived from my achievements at work, from my ability to create economic value and to expand my own influence in the world. I had spent my research career working to build ever more powerful artificial intelligence algorithms. In doing this, I came to view my own life as a kind of optimization algorithm with a clear goals: maximize personal influence and minimize anything that doesn’t contribute to that goal. I sought to quantify everything in my life, balancing these “inputs” and fine-tuning the algorithm.

More important, the machines’ understanding of good and evil will likely surpass our own. As I write this, five different genocides are taking place in the world.17 Seven hundred ninety-five million people are starving or undernourished.18 By the time you finish this chapter, more than a hundred people, just in the United States, will be beaten, abused, or killed by a family member, in their own home.19 Are there potential dangers with AI? Sure. But morally speaking, we’re throwing rocks inside a glass house here. What do we know about ethics and the humane treatment of animals, the environment, and one another? That’s right: pretty much nothing. When it comes to moral questions, humanity has historically flunked the test, over and over again.

Tomorrow’s leaders will be brave enough to scale the dangerous peaks of an increasingly competitive and ethically challenging mountain range. They will drive the problematic conversations that illuminate the valleys in between.

requires both ethics and data, both deep thinking people and Deep Learning AI,

Everyone has a need to feel a sense of self-worth and self-actualization – that he or she believes his or her existence is meaningful. Unfortunately, the Industrial Revolution wrongfully instilled a social norm that self-worth should primarily come from work ethic – if you work hard, you will be rewarded. But because of AI, jobs based on repetitive tasks will soon be gone forever. We need to redefine the idea of work ethic for the new workforce paradigm. The importance of a job should not be solely dependent on its economic value but should also be measured by what it adds to society. We should also reassess our notion that longer work hours are the best way to achieve success and should remove the stigma associated with service professions.

What is the sum of not recognizing the tremendous need for self reflection of all entities of our time. History repeats itself, easily predicted by the primitive parts of psychology. There's only one excuse for inaction, fear, or the lack of foresight. Furthermore, if democracy is the way - a thousand astronomers may be more effective in dealing with issues regarding the stars - and so on. Though perhaps there may be universal issues directly related to the human experience. There's also significant cause for concern with regards to larger variations or differences in lifestyle, preferences/ideologies, merits, psychology and various corruptions which may arise. Favouring the political directions who are able to produce, raise or educate the most babies and then gets to decide the fate of all the rest. There is difficulty in adressing issues when there is a great need for balance between short-term and long-term good. Whatever system of governance, with ways of bringing those carrying the merits, discipline and good hearts to surface like buoyancy, necessary to secure a good future for all. The paradox of calling for the good to rise up - is how those truly good may often fail to recognize their part of the intended audience, being too humble in accepting their own worth. Let's be thankful, for nature lead us to solution. In this case, the birds.

What is the sum of not recognizing the tremendous need for self reflection of all entities in our times. History repeats itself, easily predicted by the primitive parts of psychology. There's only one excuse for inaction, fear, or the lack of foresight. Furthermore, if democracy is the way - a thousand astronomers may be more effective in dealing with issues regarding the stars - and so on. Though perhaps there may be universal issues directly related to the human experience. There's also significant cause for concern with regards to larger variations or differences in lifestyle, preferences/ideologies, merits, psychology and various corruptions which may arise. Favouring the political directions who are able to produce, raise or educate the most babies and then gets to decide the fate of all the rest. There is difficulty in adressing issues when there is a great need for balance between short-term and long-term good. Whatever system of governance, with ways of bringing those carrying the merits, discipline and good hearts to surface like buoyancy, necessary to secure a good future for all. The paradox of calling for the good to rise up - is how those truly good may often fail to recognize their part of the intended audience, being too humble in accepting their own worth. And, to recognize those primitive tendencies of an elevated ego. Let's be thankful, for nature inspire many solutions.

AI is always inclusive along with Biology, physics, SDGs, girls education, All other things subject to change based on situations (Except advanced biology where ethics are touched)

The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations. This fact is disturbing. We need to close this gap as soon as possible." ~ Murat Durmus (THE AI THOUGHT BOOK)

The wise use AI to design prosthetics, savages for transhumanism.

There's a fine line between inspiration and plagiarism. A.I only feeds the dominant side of it's human operator.

There's a fine line between inspiration and plagiarism. A.I only feeds the dominant side of its human operator

Ethical AI systems focus on removing human bias from legal systems while adding more humanity to them. Bias in terms of interpretations, judgments, and delaying judgments.

The true potential of AI lies in its ability to uplift humanity while safeguarding and empowering future generations.

Unless we understand our natural intelligence, we will not be able to manage Artificial Intelligence. We will only use it to feed our already bloated ego." As we venture into the era of Artificial Intelligence, it is essential to reflect on the profound wisdom in this statement. Understanding our own natural intelligence - our cognitive abilities, emotions, and ethical considerations - is the key to responsibly harnessing the potential of AI. Let's embark on a journey of self-awareness and humility. By recognizing our strengths and limitations as humans, we can identify the areas where AI can complement and enhance our capabilities, rather than overshadowing or replacing them. With a clear understanding of our own biases and motivations, we can ensure that AI is developed and utilized in ways that benefit all of humanity. Let's not allow AI to reinforce harmful behaviors or serve as a tool to feed our egos, rather let's channel its power for the greater good. By embracing our humanity and acting responsibly, we can manage AI in a manner that promotes ethics, privacy, and societal well-being. Let's use AI as a force for positive advancements, lifting each other and creating a more inclusive and equitable world. #EmbraceHumanity #TechnologyForGood

There's more to technology than startups 'n entrepreneurship. Power without responsibility causes disparity not uplift.

To inspire trust, the AI models that encapsulate dynamic intelligence, should have a carefully configured ‘best before’ date.

Without a solid ethical grounding, children risk growing into adults who, however outwardly accomplished, lack emotional depth, have impaired social and family relationships, and are vulnerable to depression and despair. But the danger goes further and broader: in the many interviews I conducted, the recurring theme was ethical accountability. Issues that are critical today will be urgent tomorrow. Who will regulate AI? Who will have access to the extraordinary medical breakthroughs that are surely coming? How will technological research be controlled? What reasoning will shape our decisions about energy production and fossil fuels? How do we prevent democracy from deteriorating under authoritarian encroachment? “Winner takes all” isn’t a moral philosophy that can successfully carry us through this century. Our children need to understand how to make complex decisions with moral implications and ramifications. More than any other area of concern I have after researching this book, I’ve concluded that it is exactly in this area of moral reasoning that the stakes are so high and our attention so lacking

The key is to establish the business’s In Real Life (IRL) ethical construct to formulate principles and rules to inform the machine how to learn to be empathic.

Lately I've seen many references to the classic "Trolley Problem" which is designed to put people in scenario that invokes a moral dilemma. The point is to see how people react, their thought process and how emotions and visual imagery influence a moral judgment. It isn't about the choices. There has been a steady increase in papers written on this problem (with new variations) in the past few years, which is not surprising since the definition and role of Ethics in a digital world has become an important topic. It is broader than AI, though the accelerated use of AI has likely been a major catalyst for ethics research. One could say that an answer is to avoid being in a situation where you have a moral dilemma. The conventional ways we have looked at ethics in the past have been too singular in view and the increasing innovations in technology have made the singular view obsolete. The only way to break out of the box is by having ethics in AI being driven through collaboration among a diverse population.

By late 2017, we concluded that what we really were talking about was the need for a full-blown approach to ethics across AI. It was far from a simple proposition. As computers gained the ability to make decisions previously reserved for humans, virtually every ethical question for humanity was becoming an ethical question for computing. If millennia of debate among philosophers had not forged clear-cut and universal answers, then a consensus was not likely to emerge overnight simply because we needed to apply them to computers.

In the symphony of AI's evolution, leaders must weave the notes of adaptability, ethics, and human connection to craft tomorrow's masterpiece.

AI can process data, but the leader possesses the heart to empathize, the ethics to judge, the spark to inspire, the intuition to innovate, and the warmth to connect.

As LLMs burgeon and permeate diverse sectors, the mandate for transparency, facilitated by all-encompassing documentation, becomes even more pressing.

In a rapidly changing world dominated by technology, the survival of humanity depends on the early incorporation of Compassionate AI, Compassionate Social Robots, and Compassionate Peacekeeping Robots.

The book, All I Really Need to Know I Learned in Kindergarten, was written in 1986 by a minister, Robert Fulghum, and it’s full of simple-sounding life advice, like “share everything,” “play fair,” and “clean up after your own mess.” Chen believes that these skills—the elementary, pre-literate skills of treating other people well, acting ethically, and behaving in prosocial ways, all of which I consider “analog ethics”—are badly needed for an age in which our value will come from our ability to relate to other people. He writes: While I know that we’ll need to layer on top of that foundation a set of practical and technical know-how, I agree with [Fulghum] that a foundation rich in EQ [emotional quotient] and compassion and imagination and creativity is the perfect springboard to prepare people—the doctors with the best bedside manner, the sales reps solving my actual problems, crisis counselors who really understand when we’re in crisis—for a machine-learning powered future in which humans and algorithms are better together. Research has indicated that teaching analog ethics can be effective. One 2015 study that tracked children from kindergarten through young adulthood found that people who had developed strong prosocial, noncognitive skills—traits like positivity, empathy, and regulating one’s own emotions—were more likely to be successful as adults. Another study in 2017 found that kids who participated in “social-emotional” learning programs were more likely to graduate from college, were arrested

As generative AI becomes a core component of products, processes, and services, use case development shifts from a tactical step to a strategic capability. Organizations must invest in framing use cases rooted in customer needs, ethical principles and pragmatic execution. Only then can generative AI be leveraged for sustainable shared value.

Benchmarks should aid rather than substitute multifaceted, human-centric assessment focused on benefiting diverse populations. We must see behind the leaderboard, upholding wisdom over metrics. Tools like model cards and datasheets support responsible benchmark practices. But comprehensive governance requires collaboration at all levels of society.

In the new era of Artificial Intelligence, Compassionate AI signifies a transformative leap, where machines autonomously cultivate and employ compassion, solving complex problems with a heartfelt dedication to the well-being of humanity and society.

At its core, Compassionate AI represents the machine's independent evolution of empathy, seamlessly weaving compassion into its problem-solving fabric. This autonomous compassion extends beyond efficiency, aiming to uplift humanity and society at large.

Machine compassion is the silent revolution of AI, where algorithms not only solve problems but do so with a heart that beats for the well-being of humanity.

Compassionate AI concept implies that the machine not only comprehends the complexities of human suffering but actively seeks solutions that alleviate pain and contribute positively to societal welfare.