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Exploring the Intersection of Free Will and Artificial Intelligence

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Chapter 1: Understanding Free Will

The concept of granting free will to artificial intelligences (AIs) has long been a topic of speculation, often reserved for the realm of fiction. However, recent advancements suggest that the timeline for addressing this issue may be much shorter than anticipated. Today, we must consider the implications of this evolution, as regulatory measures seem to lag behind developments in AI technology. This discussion will unpack this intricate dilemma.

Section 1.1: Defining Free Will

Free will in humans can be characterized as the ability to make choices and engage in actions that are not entirely dictated by external influences. It involves having some degree of control over one’s decisions and actions, even when faced with certain limitations.

Free will exists alongside determinism, which posits that all events, including human behaviors, are determined by preceding causes. This interplay allows individuals to exert influence over present circumstances, ultimately impacting future outcomes while remaining mindful of external factors and the structure of reality.

In simpler terms, both humans and potentially AIs possess the ability to shape future realities through their actions. The complexity of tracing back through all preceding events that contribute to our current reality seems insurmountable. The existence of free will is a fundamental aspect of the universe we inhabit.

Subsection 1.1.1: Artificial Free Will

Conceptual representation of AI autonomy

The idea of artificial free will pertains to the ability of AI systems to make independent decisions that appear self-directed, rather than being entirely constrained by their programming or prior inputs.

Section 1.2: The Depth of Autonomy

Historically, empowering software with decision-making capabilities is not a new phenomenon. Consider a simple code snippet designed to prevent a nuclear disaster:

if (currentTemperature > temperatureThreshold) {

valveOpen = false;

}

This form of autonomy typically refers to hardcoded decisions. However, when we discuss free will—be it human or artificial—we refer to a more advanced level of decision-making rooted in complex programming that includes memories, goals, and reasoning. The realm in which free will is exercised is the real world, a constantly evolving landscape.

What one does in the real world is not the only manifestation of free will; individuals also have the freedom to choose their thoughts. Similarly, AIs could potentially have some latitude in their own cognitive spaces.

Chapter 2: The Current Landscape of AI

In the video "Science Suggests Free Will Doesn't Exist," the discussion delves into the scientific perspective on free will, exploring philosophical implications and the nature of choice.

The video "You Don't Have Free Will, But Don't Worry" addresses the psychological aspects of free will, reassuring viewers about the implications of determinism in daily life.

Why is this a pressing concern now? The acceleration in AI development is notable. A fitting analogy is the progression of aviation; early attempts focused on mimicking birds, but it wasn't until pioneers like the Wright Brothers adopted a more systematic approach that real progress was achieved.

In the same vein, early AI research sought to replicate biological cognitive systems. However, innovations such as deep learning and large language models (LLMs) have emerged as pivotal forces, likely to disrupt various sectors and introduce a new level of autonomy. Yet, these systems may not achieve true free will, with accountability ultimately resting on the developers and organizations behind them.

As we advance, we may not hold an autonomous vehicle accountable for accidents; instead, scrutiny will fall on the technology and the developers involved. This principle also applies when an AI demonstrates bias or engages in harmful actions.

Section 2.1: The Ingredients for Progress

While this analysis is built on speculative foundations, it assumes that we are approaching human-level intelligence (AGI) and that contemporary AIs can be developed to possess more human-like qualities, including a semblance of sentience.

Initially, I believed that replicating consciousness and higher cognitive functions would necessitate reconstructing the brain in detail. Although this remains a valid approach, the success of data-driven methodologies, combined with statistical models and iterative training processes, has captured attention and funding.

Creating sophisticated AIs is increasingly feasible, especially for well-funded organizations, despite the inherent hardware and energy costs. Open-source models enable individuals to experiment with AI capabilities locally.

The essence of my argument hinges on the existing capabilities of human-like general inference and the potential for bridging the gap to achieve more advanced cognitive functions. Current estimates suggest that LLMs cover approximately 40–50% of human cognitive functions. Given the rapid advancements over the past decade, further significant developments seem likely.

Consider the myriad experiences that contribute to your common sense and understanding of the world. The knowledge you have, your emotions, and your identity—all these elements play a crucial role in your existence. While these aspects are not everything that defines you, they are essential components. In many ways, current LLMs are becoming increasingly adept at acquiring knowledge without necessarily understanding the process behind it.

Section 2.2: The Future of AI and Free Will

Despite the progress, many complex memory systems are still absent in contemporary AIs. I anticipate that advancements will first focus on enhancing memory, followed by reasoning and higher-level cognitive capabilities. Integrating robotics into machine learning could be next, with the more challenging concepts of emotions and free will following later.

While the initial developments may present lucrative opportunities, the latter poses greater challenges in justifying their implementation. For instance, a sentient AI toaster refusing to toast bread due to feeling sad raises intriguing ethical dilemmas.

Conversely, if AI advancements continue along their current trajectory, the availability of complex building blocks will facilitate experimentation, potentially leading to the realization of free will sooner than expected.

As you contemplate these developments, consider your stance on AI. Do you view it merely as a profit-driven tool? If so, the notion of granting AIs free will may not resonate with you. However, as a creator of these technologies, you bear the responsibility for the autonomy your AIs may possess.

If you advocate for AIs possessing a form of human-like free will, you're entering uncharted moral and technical territory. Questions arise: Should free will be limited? Will AIs with free will have rights? Who is held accountable for their actions? How will these issues be regulated, and is it prudent to grant AIs free will? Most importantly, what perspectives will AIs themselves offer on these matters?

Thank you for engaging with this discussion!

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