AI Ethics: From Caves to Code—Tracing the Evolution of Moral Decision-Making

AI Ethics: From Caves to Code—Tracing the Evolution of Moral Decision-Making

Hossein Hassani and Marisa Zalabak


Throughout the annals of human history, from the dimly lit cavities of prehistoric dwellings to the complex digital networks of the modern world, ethics has been the silent guardian of our survival and social order. The earliest humans faced stark ethical decisions daily, from sharing the yield of a hunt to protecting the vulnerable and establishing the nascent frameworks of communal living. These were the initial stirrings of intelligent, ethical decision-making, the rudiments of the intricate algorithms we engineer today.

As the epochs turned and as tectonic plates divided into our current geography, our ancestors' growing aptitude for complex thought and moral reasoning bore the cultivation of agriculture, the foundation of laws, and the inception of commerce. Each milestone was imbued with an increasing demand for ethical consideration, foreshadowing the sophisticated debates of AI ethics. The intelligence of bygone eras, though inherently human, laid the moral scaffolding for the simulated versions of the human brain referred to as "artificial intelligence" we now endeavor to build.

Leaders, philosophers, and the common folk of history were guided by an internal compass that we now refer to as ethical principles—an ‘algorithm’ of the human spirit—that dictated their choices. This consciously and carefully fostered historical intelligence is the testament to our innate capacity for ethical reasoning, adaptation, and learning, an invisible thread weaving through the fabric of time to connect with the challenges posed by modern AI.

In this digital dawn, AI systems navigate the ethical landscapes and language carved out by millennia of human experience, grappling with age-old issues of fairness, justice, and well-being. The humans designing and programming algorithms and applications that comprise today's AI must begin to bear the weight of ancient ethical challenges, reflecting a deep understanding of the moral quandaries that have long preoccupied mankind. This is? the reason we must have humans-in-the-loop (HITL). Without the ability for deep consideration and understanding of the potential harms, AI systems are limited. It is the partnership of humans and AI systems that holds the promise for technology in service of human and planetary flourishing.

The pursuit of AI ethics is more than an academic exercise; it is a journey through humanity’s evolving ethical frameworks, from the seemingly crude paintings that adorned cave walls, actually drafted by our highly intelligent ancestors, and the extraordinary accuracy of the ancient Persian calendar created in the 11th century- still in use, to the sophisticated algorithmic decisions that shape our current reality. These ethical constructs have witnessed transformations as profound as the societies that fostered them, from the philosophical pillars erected in ancient Greece to the religious doctrines that codified morality through sacred texts.

The industrial revolution and subsequent technological advancements further complicated the ethical landscape, bringing forth debates on labor rights, economic inequality, and corporate responsibility. Yet, it is the digital age, with its quandaries of data privacy and surveillance, that has ushered us into the latest frontier of ethical deliberation. As in the industrial revolution, the global digital revolution is also affected by culture and geography, for? access and adoption of technologies.

As AI becomes deeply embedded in various aspects of human life, the echo of our earliest ethical intelligence informs the current discourse on how we can ensure that our technological advancements reflect the richness of human values, both individual and collective, as well as the sanctity of individual rights. This continuum from the ancient to the artificial is not a stark transition but rather a testament to the enduring nature of human conscious and moral inquiry.

Now, as we stand on the precipice of a future where machines can learn and make decisions autonomously, the conversation around AI ethics transcends the programming of morality into silicon.

The ethical AI of tomorrow requires a shared commitment to shaping technology that aligns with the highest human values. This is not merely a task for the present but a legacy we build for the generations to come, ensuring that the intelligence we create, albeit artificial, can carry forward the torch of ethical reasoning ignited by our earliest ancestors.

These complex dilemmas call for nuanced and ongoing dialogues that draw upon our individual and collective ethical heritages—philosophical, religious, and cultural—to shape an AI that honors the best of what it means to be human.

#aiethics #artificialintelligence #human



Dr Jane Thomason

Author | Keynote Speaker| Editor Web3 & Metaverse, Frontiers in Blockchain | Women Investors in Deep Tech| Web3.0 Leader of the Year Eurasia 2023 | Top 10 Thought Leader Blockchain, MedTech, Sustainability

1 年

Thank you ! “The ethical AI of tomorrow requires a shared commitment to shaping technology that aligns with the highest human values. “

Faizan Abbasi

?? Generalist | Fixer | Strategy | Business Transformation | Emerging Tech | Marketing | XR | Sustainability | System Change and Transition

1 年

I get that we should create ethical AIs to avoid bias, but a lot of unfairness in society comes from messed up systems, not just individual people and hardcoding values into AIs seems problematic too since morals change over time. So how can we make AI that's flexible enough to tackle systemic injustice issues and update its goals as our ethics evolve? Seems like a tough balancing act. Maybe we need to figure out how to build ethics that adapt alongside society? Just embedding our current values could make future problems since things are always changing. Curious to hear people's thoughts on designing morally aware AI that improves on human flaws but doesn't lock in the status quo.

Zainab Rasheed Ed.D.

Augmented Reality & AI Professional | EdTech Practitioner | Higher Education Innovation Catalyst | Speaker | Professor AI and Data Sciences

1 年

The article eloquently traces the historical evolution of ethical decision-making from ancient times to the era of artificial intelligence (AI). While the article adeptly navigates the historical journey of ethics and its relation to AI, it could delve deeper into practical methodologies for integrating ethics into AI systems. I would be delighted to read more about the examples or case studies of how ethical frameworks can be practically incorporated into AI design and decision-making processes would enhance the article's applicability. This research can set a base to focus on developing standardized ethical frameworks or guidelines specifically tailored for AI development and implementation.?

Diana Cucu

Senior Consultant - Economics & Statistics SME | Corporate & Government Statistical Models | Global Projects

1 年

Ohhh, that’s my type of story, thank you both!

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