AI Free Will: The Ethics and Implications of Autonomous Machines

Introduction

Free will is a fundamental aspect of human experience and decision-making. It is the notion that we can make decisions that are not influenced by past events or other factors and act out of our free will. Free will has long been debated in philosophy, with various theories attempting to explain its nature and existence. In recent years, artificial intelligence has raised new questions about the possibility of free will in non-human agents.

Importance of free will in ethical decision making

Free will is the idea that we can make choices not determined by prior causes or external influences and that our actions result from our own volition. Without free will, it is hard to hold individuals accountable for their actions and to hold them responsible for the consequences of their decisions (Tobias Zürcher, 2019). Free will is also necessary for making ethical decisions. If prior causes or external influences determine our actions, it is hard to see how we can be said to have made a choice.

The potential for free will in AI

Some argue that because AI is ultimately a product of human design and programming, it cannot possess genuine free will. Others suggest that advanced AI systems, particularly those that exhibit learning and adaptability, may be able to develop a form of free will through their actions and decision-making processes. Some researchers are also exploring the possibility of implementing free will in AI through technical means, such as incorporating randomness or indeterminism into the decision-making processes of autonomous machines.

The nature of free will

One way to understand free will is through the relationship between determinism and indeterminism. Another is through compatibilism and incompatibilism.

Compatibilism is the view that free will is compatible with determinism and that our actions can be both causally determined and freely chosen (Inwagen, n.d.). Conversely, incompatibilism is the view that free will is incompatible with determinism and that our actions must be undetermined to be genuinely free (Kane, 2009). Which of these views is right bears directly on whether AI could have free will.

Kane claims that many kinds of freedom worth wanting are compatible with determinism. Imagine a person, Bob, who lives in a determined world where prior causes predetermine all events and choices. Bob is a prisoner serving a life sentence for a crime he committed. Despite his imprisonment, Bob can enjoy many freedoms worth wanting, such as reading books, listening to music, and exercising. He is also free from physical restraint. This shows that many kinds of freedom worth wanting are compatible with determinism.

One possible justification for Kane’s claim is that determinism, the idea that prior causes determine all events, does not necessarily imply a lack of choice or agency. Our actions and decisions can have prior causes and still be ours to make.

Determinism and indeterminism

Determinism is the idea that all events, including human actions, are ultimately determined by previous events and natural laws. In contrast, indeterminism is the idea that some events, such as human actions, are not determined by prior events or natural laws and are genuinely random or unpredictable. In the context of AI and autonomous machines, determinism suggests that the actions of these machines are determined by their programming and the input they receive from their environment. Their actions could then, in principle, be predicted from that programming and input.

Indeterminism would suggest that the actions of AI and autonomous machines are not entirely determined by their programming and the input they receive from their environment. This could mean that their actions are random or unpredictable, or that they have some free will or agency that lets them make choices their programming and input don’t determine. If indeterminism is true, then the actions of AI and autonomous machines may be unpredictable and beyond the control of their designers and operators (Sparrow, 2007).

Sparrow claims that this unpredictability raises ethical questions about the use of autonomous weapons. Imagine a scenario where the robots in war are tasked with surrounding and neutralizing a target, using whatever means necessary. As they approach the target, the robots encounter a group of civilians in the line of fire. In this situation, the robots must decide whether to continue their original mission or protect civilians. If they continue the task, they may achieve their objective at the cost of innocent lives. On the other hand, if they prioritize the safety of the civilians, they may fail to capture the target and potentially risk the lives of their human operators.

The next generation of intelligent robots will be capable of acting on their own in a stronger sense and can form and revise their own beliefs and learn from experience. As a result, their actions will quickly become somewhat unpredictable, and that is what raises the ethical questions about using them as weapons. The argument rests on the premise that these systems will have a significant capacity for self-directed learning and decision-making, which may lead to unpredictable behavior.

The ethics of AI free will

The ethical question is how far AI and autonomous machines should be held responsible for their actions. If these machines had free will, they could make choices that their programming and input don’t determine. They would then be responsible for their actions and should be held accountable for any harm they cause.

If AI and autonomous machines do not have free will, their actions would be entirely determined by their programming and the input they receive from their environment. In this case, the designers and operators of these machines are responsible for their actions and should be held accountable for any harm they cause.

Consequentialist and deontological perspectives

The consequentialist perspective is the idea that the moral value of an action should be judged based on its consequences. This means that an action is morally right if it leads to good outcomes, such as happiness or well-being for the greatest number of people, and wrong if it leads to bad outcomes, such as suffering or harm for the greatest number of people. In the context of AI and autonomous machines, the consequentialist perspective would suggest that the actions of these machines are morally right or wrong based on their consequences. For example, if the actions of an AI or autonomous machine led to good results, such as helping to save lives or improve the well-being of human beings, then these actions would be morally right from a consequentialist perspective (Sinnott-Armstrong, 2022).

In contrast, the deontological perspective is the idea that the moral value of an action should be judged based on whether it respects the inherent dignity and autonomy of individuals. This means an action is morally right if it respects individuals’ inherent dignity and autonomy and wrong if it violates or undermines them. The deontological perspective would suggest that the actions of AI and autonomous machines are morally right or wrong based on whether they respect individuals’ inherent dignity and autonomy. For example, if the actions of an AI or autonomous machine violate the inherent dignity and autonomy of human beings, such as by controlling or manipulating them without their consent, then these actions would be morally wrong from a deontological perspective.

Whether we judge these machines by the consequences of their actions or by whether they respect individuals’ inherent dignity and autonomy will shape how we think about their ethics and social impact.

Actual value of human autonomy

Human autonomy can be understood as the ability to make choices and decisions based on one’s values, beliefs, and desires. This ability is considered a fundamental aspect of human agency and is often associated with concepts such as free will, self-determination, and individual responsibility (Pauen, 2007).

The actual value of human autonomy becomes an ethical question once machines can act autonomously. Some argue that the development of autonomous AI systems threatens to diminish or even eliminate human freedom, as these systems may be able to make decisions and take actions without direct human input or oversight (Formosa, 2021).

Formosa claims that competency conditions are necessary for personal autonomy. Personal autonomy involves the ability to critically reflect on one’s values, adopt ends, imagine oneself being otherwise, and regard oneself as the bearer of dignity authorized to set one’s limitations. These abilities require specific skills and self-attitudes, such as self-respect, self-love, self-esteem, and self-trust. Oppressive socialization can inhibit the development of these competencies, leading to a lack of personal autonomy.

Despite the challenges posed by oppressive socialization and external influences, autonomy is part of what makes someone a self-governing person. Autonomy allows individuals to reflect on their values critically, make decisions, and develop authentically “own” values and norms. Autonomy is also needed for the exercise of dignity and the realization of individual potential. Therefore, it is necessary to recognize and protect the actual value of human autonomy.

The potential for AI autonomy

AI autonomy raises ethical questions about free will and moral responsibility. If an AI is truly autonomous, it can make decisions and act independently without being directly controlled by a human. This could lead to situations where an AI acts in ways that are contrary to human interests or values.

On the one hand, AI autonomy could lead to progress in healthcare, transportation, and manufacturing. Autonomous machines could be more efficient and effective than human workers, making decisions and taking actions that are more rational and less biased than humans. On the other hand, it raises concerns about the loss of human control and agency. An AI acting without human input or oversight could make decisions that are harmful to humans or otherwise undesirable.

Moral responsibility also gets murky with autonomous AI. Who is to blame if an AI makes a decision that leads to harm? Is it the person who created the AI, the person who programmed it, or the AI itself?

Implications of AI free will

Responsibility and accountability

If AI and autonomous machines have free will, they could make choices that their programming and input don’t determine, including unethical choices or choices that harm humans (Eleanor Bird, 2020). We would then need ethical guidelines and regulations so that these machines act in ways society accepts.

Eleanor Bird claims that increasing the delegation of decision-making to AI will impact areas of law requiring criminal intent for a crime to have been committed. Imagine a situation in which a self-driving car is involved in a fatal accident. The car was programmed to prioritize the safety of its passengers over that of pedestrians, and the accident occurred because its AI system chose to swerve onto the sidewalk to avoid hitting another vehicle. In this scenario, who would be considered responsible for the accident?

If we hold the car’s manufacturer or the AI system responsible for the accident, then the traditional legal concept of criminal intent may not apply. In this case, whether the accident was intentional or unintentional becomes irrelevant because the AI system followed its programming. If we instead hold the car’s driver responsible, even though they were not in control of the vehicle at the time, the traditional legal concept of criminal intent may still apply. Determining the driver’s criminal responsibility would then mean asking whether they intended the accident to occur.

Legal and policy considerations

Recognizing AI as having free will would affect existing legal frameworks and regulations. The law would have to reassess how it treats AI on responsibility and liability. AI is often treated as a tool or extension of the humans who create and control it, but if it has free will, it may need to be held accountable for its actions in certain situations.

AI free will could also affect broader social and economic issues, such as employment and the allocation of resources. The next step in artificial intelligence and robotics is to consider the philosophical perspectives of moral responsibility. That would help address the field’s needs and challenges (Ashrafian, 2014).

Ashrafian claims that artificial intelligence agents and robots may be granted legal personhood status. The Roman legal system provides a model for the legal status of future artificial intelligence agents and robots. Like the Roman system, a digital peculium could be applied to robots. Additionally, the Romans granted citizenship and rights to individuals based on their status as freeborn and eventually extended these rights to all freeborn men and women in the empire. Similarly, as artificial intelligence agents and robots become more advanced and integrated into human society, they will be granted legal personhood status, with accompanying rights and responsibilities. The “Caracalla approach” of giving rights and obligations based on level may be applicable in this context.

The potential for AI moral agency

A moral agent can make moral judgments and act on them. This raises the question of whether AI, as an autonomous system, could be considered a moral agent. One argument for AI moral agency is that, as AI systems become more advanced, they can make moral judgments comparable to those made by humans. For example, an AI system may be able to analyze a situation and determine the best course of action based on ethical principles, just as a human might. If an AI system can make moral judgments this way, it could be considered a moral agent.

The principle of responsibility requires self-awareness to fulfill the objectives that we assign to it. Therefore, self-awareness is necessary for moral responsibility (Mario Verdicchio, 2022). Verdicchio argues that assigning blame and imposing sanctions should serve communicative, remedial, or strictly restorative purposes rather than revenge or pure retribution.

Verdicchio’s argument suggests that assigning responsibility and applying sanctions for these purposes can help motivate lawful behavior and prevent harmful conduct in society. It also implies that overcoming the prejudice that guilt and responsibility require free will makes it possible to adopt these more constructive and preventative approaches to accountability and punishment.

Conclusion

Advanced AI systems can be considered to have free will and moral agency. As they become more advanced, they will be able to make moral judgments and act on them in a manner comparable to human beings.

Future research and development of AI

Future research may focus on developing ethical frameworks for AI systems and exploring the potential for AI systems to impact society positively.

Implications for society and individuals

AI moral agency would affect both society and individuals. On a societal level, the development of advanced AI systems with moral agency could lead to a more ethical and fair society, as these systems could be used to make decisions based on ethical principles. However, it could also raise concerns about the potential for these systems to act in ways that are unethical or harmful to society.

On an individual level, the development of AI moral agency could have implications for how individuals interact with these systems. For example, individuals may need to consider the moral consequences of their interactions with AI systems and may need to be prepared to accept the decisions made by these systems. It may also raise questions about the role of individuals in society and about the potential for AI systems to challenge the traditional understanding of moral agency.

Bibliography

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• Inwagen, P. v. (n.d.). The Information Philosopher. Retrieved from The Information Philosopher: https://www.informationphilosopher.com/solutions/philosophers/vaninwagen/

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• Sparrow, R. (2007). Killer Robots. Journal Of Applied Philosophy, 2.

• Sinnott-Armstrong. (2022). Consequentialism. The Stanford Encyclopedia of Philosophy.

• Pauen, M. (2007). Self-Determination Free Will, Responsibility, and Determinism. Synthesis Philosophica.

• Formosa, P. (2021). Robot Autonomy vs. Human Autonomy: Social Robots, Artificial Intelligence (AI), and the Nature of Autonomy. Minds and Machines.

• Eleanor Bird, J. F.-S. (2020). The ethics of artificial intelligence: Issues and initiatives. European Parliamentary Research Services .

• Mario Verdicchio, A. P. (2022). When Doctors and AI Interact: on Human Responsibility for Artificial Risks. Philosophy & Technology .