Ethics of artificial intelligence

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The ethics of artificial intelligence is the branch of the ethics of technology specific to artificially intelligent systems.[1] It is sometimes divided into a concern with the moral behavior of humans as they design, make, use and treat artificially intelligent systems, and a concern with the behavior of machines, in machine ethics. It also includes the issue of a possible singularity due to superintelligent AI.

Ethics fields' approaches[]

Robot ethics[]

Main article: Robot ethics

The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots.[2] Robot ethics intersect with the ethics of AI. Robots are physical machines whereas AI can be only software.[3] Not all robots functions through AI systems and not all AI systems are robots. Robot ethics considers how machines may be used to harm or benefit humans, their impact on individual autonomy, and their effects on social justice.

Machine ethics[]

Main article: Machine ethics

Machine ethics (or machine morality) is the field of research concerned with designing Artificial Moral Agents (AMAs), robots or artificially intelligent computers that behave morally or as though moral.[4][5][6][7] To account for the nature of these agents, it has been suggested to consider certain philosophical ideas, like the standard characterizations of agency, rational agency, moral agency, and artificial agency, which are related to the concept of AMAs.[8]

Isaac Asimov considered the issue in the 1950s in his I, Robot. At the insistence of his editor John W. Campbell Jr., he proposed the Three Laws of Robotics to govern artificially intelligent systems. Much of his work was then spent testing the boundaries of his three laws to see where they would break down, or where they would create paradoxical or unanticipated behavior. His work suggests that no set of fixed laws can sufficiently anticipate all possible circumstances.[9] More recently, academics and many governments have challenged the idea that AI can itself be held accountable.[10] A panel convened by the United Kingdom in 2010 revised Asimov's laws to clarify that AI is the responsibility either of its manufacturers, or of its owner/operator.[11]

In 2009, during an experiment at the Laboratory of Intelligent Systems in the Ecole Polytechnique Fédérale of Lausanne in Switzerland, robots that were programmed to cooperate with each other (in searching out a beneficial resource and avoiding a poisonous one) eventually learned to lie to each other in an attempt to hoard the beneficial resource.[12]

Some experts and academics have questioned the use of robots for military combat, especially when such robots are given some degree of autonomous functions.[13] The US Navy has funded a report which indicates that as military robots become more complex, there should be greater attention to implications of their ability to make autonomous decisions.[14][15] The President of the Association for the Advancement of Artificial Intelligence has commissioned a study to look at this issue.[16] They point to programs like the Language Acquisition Device which can emulate human interaction.

Vernor Vinge has suggested that a moment may come when some computers are smarter than humans. He calls this "the Singularity."[17] He suggests that it may be somewhat or possibly very dangerous for humans.[18] This is discussed by a philosophy called Singularitarianism. The Machine Intelligence Research Institute has suggested a need to build "Friendly AI", meaning that the advances which are already occurring with AI should also include an effort to make AI intrinsically friendly and humane.[19]

There are discussion on creating tests to see if an AI is capable of making ethical decisions. Alan Winfield concludes that the Turing test is flawed and the requirement for an AI to pass the test is too low.[20] A proposed alternative test is one called the Ethical Turing Test, which would improve on the current test by having multiple judges decide if the AI's decision is ethical or unethical.[20]

In 2009, academics and technical experts attended a conference organized by the Association for the Advancement of Artificial Intelligence to discuss the potential impact of robots and computers and the impact of the hypothetical possibility that they could become self-sufficient and able to make their own decisions. They discussed the possibility and the extent to which computers and robots might be able to acquire any level of autonomy, and to what degree they could use such abilities to possibly pose any threat or hazard. They noted that some machines have acquired various forms of semi-autonomy, including being able to find power sources on their own and being able to independently choose targets to attack with weapons. They also noted that some computer viruses can evade elimination and have achieved "cockroach intelligence." They noted that self-awareness as depicted in science-fiction is probably unlikely, but that there were other potential hazards and pitfalls.[17]

However, there is one technology in particular that could truly bring the possibility of robots with moral competence to reality. In a paper on the acquisition of moral values by robots, Nayef Al-Rodhan mentions the case of neuromorphic chips, which aim to process information similarly to humans, nonlinearly and with millions of interconnected artificial neurons.[21] Robots embedded with neuromorphic technology could learn and develop knowledge in a uniquely humanlike way. Inevitably, this raises the question of the environment in which such robots would learn about the world and whose morality they would inherit – or if they end up developing human 'weaknesses' as well: selfishness, a pro-survival attitude, hesitation etc.

In Moral Machines: Teaching Robots Right from Wrong,[22] Wendell Wallach and Colin Allen conclude that attempts to teach robots right from wrong will likely advance understanding of human ethics by motivating humans to address gaps in modern normative theory and by providing a platform for experimental investigation. As one example, it has introduced normative ethicists to the controversial issue of which specific learning algorithms to use in machines. Nick Bostrom and Eliezer Yudkowsky have argued for decision trees (such as ID3) over neural networks and genetic algorithms on the grounds that decision trees obey modern social norms of transparency and predictability (e.g. stare decisis),[23] while Chris Santos-Lang argued in the opposite direction on the grounds that the norms of any age must be allowed to change and that natural failure to fully satisfy these particular norms has been essential in making humans less vulnerable to criminal "hackers".[24]

According to a 2019 report from the Center for the Governance of AI at the University of Oxford, 82% of Americans believe that robots and AI should be carefully managed. Concerns cited ranged from how AI is used in surveillance and in spreading fake content online (known as deep fakes when they include doctored video images and audio generated with help from AI) to cyberattacks, infringements on data privacy, hiring bias, autonomous vehicles, and drones that don't require a human controller.[25]

Ethics principles of artificial intelligence[]

In the review of 84[26] ethics guidelines for AI 11 clusters of principles were found: transparency, justice and fairness, non-maleficence, responsibility, privacy, beneficence, freedom and autonomy, trust, sustainability, dignity, solidarity.[26]

Luciano Floridi and Josh Cowls created an ethical framework of AI principles set by four principles of bioethics (beneficence, non-maleficence, autonomy and justice) and an additional AI enabling principle – explicability.[27]

Transparency, accountability, and open source[]

Bill Hibbard argues that because AI will have such a profound effect on humanity, AI developers are representatives of future humanity and thus have an ethical obligation to be transparent in their efforts.[28] Ben Goertzel and David Hart created OpenCog as an open source framework for AI development.[29] OpenAI is a non-profit AI research company created by Elon Musk, Sam Altman and others to develop open-source AI beneficial to humanity.[30] There are numerous other open-source AI developments.

Unfortunately, making code open source does not make it comprehensible, which by many definitions means that the AI code is not transparent. The IEEE has a standardisation effort on AI transparency.[31] The IEEE effort identifies multiple scales of transparency for different users. Further, there is concern that releasing the full capacity of contemporary AI to some organizations may be a public bad, that is, do more damage than good. For example, Microsoft has expressed concern about allowing universal access to its face recognition software, even for those who can pay for it. Microsoft posted an extraordinary blog on this topic, asking for government regulation to help determine the right thing to do.[32]

Not only companies, but many other researchers and citizen advocates recommend government regulation as a means of ensuring transparency, and through it, human accountability. This strategy has proven controversial, as some worry that it will slow the rate of innovation. Others argue that regulation leads to systemic stability more able to support innovation in the long term.[33] The OECD, UN, EU, and many countries are presently working on strategies for regulating AI, and finding appropriate legal frameworks.[34][35][36]

On June 26, 2019, the European Commission High-Level Expert Group on Artificial Intelligence (AI HLEG) published its “Policy and investment recommendations for trustworthy Artificial Intelligence”.[37] This is the AI HLEG's second deliverable, after the April 2019 publication of the "Ethics Guidelines for Trustworthy AI". The June AI HLEG recommendations cover four principal subjects: humans and society at large, research and academia, the private sector, and the public sector. The European Commission claims that "HLEG's recommendations reflect an appreciation of both the opportunities for AI technologies to drive economic growth, prosperity and innovation, as well as the potential risks involved" and states that the EU aims to lead on the framing of policies governing AI internationally.[38]

Ethical challenges[]

Biases in AI systems[]

Main article: Algorithmic bias
US Senator Kamala Harris speaking about racial bias in artificial intelligence in 2020

AI has become increasingly inherent in facial and voice recognition systems. Some of these systems have real business applications and directly impact people. These systems are vulnerable to biases and errors introduced by its human creators. Also, the data used to train these AI systems itself can have biases.[39][40][41][42] For instance, facial recognition algorithms made by Microsoft, IBM and Face++ all had biases when it came to detecting people's gender;[43] These AI systems were able to detect gender of white men more accurately than gender of darker skin men. Further, a 2020 study reviewed voice recognition systems from Amazon, Apple, Google, IBM, and Microsoft found that they have higher error rates when transcribing black people's voices than white people's.[44] Furthermore, Amazon terminated their use of AI hiring and recruitment because the algorithm favored male candidates over female ones. This was because Amazon's system was trained with data collected over 10-year period that came mostly from male candidates.[45]

Bias can creep into algorithms in many ways. For example, Friedman and Nissenbaum identify three categories of bias in computer systems: existing bias, technical bias, and emergent bias.[46] In natural language processing, problems can arise from the text corpus — the source material the algorithm uses to learn about the relationships between different words.[47]

Large companies such as IBM, Google, etc. have made efforts to research and address these biases.[48][49][50] One solution for addressing bias is to create documentation for the data used to train AI systems.[51][52]

The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it. Some experts warn that algorithmic bias is already pervasive in many industries and that almost no one is making an effort to identify or correct it.[53] There are some open-sourced tools [54] by civil societies that are looking to bring more awareness to biased AI.

Threat to human dignity[]

Main article: Computer Power and Human Reason

Joseph Weizenbaum argued in 1976 that AI technology should not be used to replace people in positions that require respect and care, such as:

  • A customer service representative (AI technology is already used today for telephone-based interactive voice response systems)
  • A therapist (as was proposed by Kenneth Colby in the 1970s)
  • A nursemaid for the elderly (as was reported by Pamela McCorduck in her book The Fifth Generation)
  • A soldier
  • A judge
  • A police officer

Weizenbaum explains that we require authentic feelings of empathy from people in these positions. If machines replace them, we will find ourselves alienated, devalued and frustrated, for the artificially intelligent system would not be able to simulate empathy. Artificial intelligence, if used in this way, represents a threat to human dignity. Weizenbaum argues that the fact that we are entertaining the possibility of machines in these positions suggests that we have experienced an "atrophy of the human spirit that comes from thinking of ourselves as computers."[55]

Pamela McCorduck counters that, speaking for women and minorities "I'd rather take my chances with an impartial computer," pointing out that there are conditions where we would prefer to have automated judges and police that have no personal agenda at all.[55] However, Kaplan and Haenlein stress that AI systems are only as smart as the data used to train them since they are, in their essence, nothing more than fancy curve-fitting machines; Using AI to support a court ruling can be highly problematic if past rulings show bias toward certain groups since those biases get formalized and engrained, which makes them even more difficult to spot and fight against.[56] AI founder John McCarthy objects to the moralizing tone of Weizenbaum's critique. "When moralizing is both vehement and vague, it invites authoritarian abuse," he writes.

Bill Hibbard[57] writes that "Human dignity requires that we strive to remove our ignorance of the nature of existence, and AI is necessary for that striving."

Liability for self-driving cars[]

Main article: Self-driving car liability

As the widespread use of autonomous cars becomes increasingly imminent, new challenges raised by fully autonomous vehicles must be addressed.[58][59] Recently,[when?] there has been debate as to the legal liability of the responsible party if these cars get into accidents.[60][61] In one report where a driverless car hit a pedestrian, the driver was inside the car but the controls were fully in the hand of computers. This led to a dilemma over who was at fault for the accident.[62]

In another incident on March 19, 2018, a Elaine Herzberg was struck and killed by a self-driving Uber in Arizona. In this case, the automated car was capable of detecting cars and certain obstacles in order to autonomously navigate the roadway, but it could not anticipate a pedestrian in the middle of the road. This raised the question of whether the driver, pedestrian, the car company, or the government should be held responsible for her death.[63]

Currently, self-driving cars are considered semi-autonomous, requiring the driver to pay attention and be prepared to take control if necessary.[64][failed verification] Thus, it falls on governments to regulate the driver who over-relies on autonomous features. as well educate them that these are just technologies that, while convenient, are not a complete substitute. Before autonomous cars become widely used, these issues need to be tackled through new policies.[65][66][67]

Weaponization of artificial intelligence[]

Main article: Lethal autonomous weapon

Some experts and academics have questioned the use of robots for military combat, especially when such robots are given some degree of autonomy.[13][68] On October 31, 2019, the United States Department of Defense's Defense Innovation Board published the draft of a report recommending principles for the ethical use of artificial intelligence by the Department of Defense that would ensure a human operator would always be able to look into the 'black box' and understand the kill-chain process. However, a major concern is how the report will be implemented.[69] The US Navy has funded a report which indicates that as military robots become more complex, there should be greater attention to implications of their ability to make autonomous decisions.[70][15] Some researchers state that autonomous robots might be more humane, as they could make decisions more effectively.[71]

Within this last decade, there has been intensive research in autonomous power with the ability to learn using assigned moral responsibilities. "The results may be used when designing future military robots, to control unwanted tendencies to assign responsibility to the robots."[72] From a consequentialist view, there is a chance that robots will develop the ability to make their own logical decisions on whom to kill and that is why there should be a set moral framework that the AI cannot override.[73]

There has been a recent outcry with regard to the engineering of artificial intelligence weapons that have included ideas of a robot takeover of mankind. AI weapons do present a type of danger different from that of human-controlled weapons. Many governments have begun to fund programs to develop AI weaponry. The United States Navy recently announced plans to develop autonomous drone weapons, paralleling similar announcements by Russia and Korea respectively. Due to the potential of AI weapons becoming more dangerous than human-operated weapons, Stephen Hawking and Max Tegmark signed a "Future of Life" petition[74] to ban AI weapons. The message posted by Hawking and Tegmark states that AI weapons pose an immediate danger and that action is required to avoid catastrophic disasters in the near future.[75]

"If any major military power pushes ahead with the AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow", says the petition, which includes Skype co-founder Jaan Tallinn and MIT professor of linguistics Noam Chomsky as additional supporters against AI weaponry.[76]

Physicist and Astronomer Royal Sir Martin Rees has warned of catastrophic instances like "dumb robots going rogue or a network that develops a mind of its own." Huw Price, a colleague of Rees at Cambridge, has voiced a similar warning that humans might not survive when intelligence "escapes the constraints of biology." These two professors created the Centre for the Study of Existential Risk at Cambridge University in the hope of avoiding this threat to human existence.[75]

Regarding the potential for smarter-than-human systems to be employed militarily, the Open Philanthropy Project writes that these scenarios "seem potentially as important as the risks related to loss of control", but research investigating AI's long-run social impact have spent relatively little time on this concern: "this class of scenarios has not been a major focus for the organizations that have been most active in this space, such as the Machine Intelligence Research Institute (MIRI) and the Future of Humanity Institute (FHI), and there seems to have been less analysis and debate regarding them".[77]

Opaque algorithms[]

Approaches like machine learning with neural networks can result in computers making decisions that they and the humans who programmed them cannot explain. It is difficult for people to determine if such decisions are fair and trustworthy, leading potentially to bias in AI systems going undetected, or people rejecting the use of such systems. This has led to advocacy and in some jurisdictions legal requirements for explainable artificial intelligence.[78]

Singularity[]

Further information: Existential risk from artificial general intelligence, Superintelligence, and Technological singularity

Many researchers have argued that, by way of an "intelligence explosion," a self-improving AI could become so powerful that humans would not be able to stop it from achieving its goals.[79] In his paper "Ethical Issues in Advanced Artificial Intelligence" and subsequent book Superintelligence: Paths, Dangers, Strategies, philosopher Nick Bostrom argues that artificial intelligence has the capability to bring about human extinction. He claims that general superintelligence would be capable of independent initiative and of making its own plans, and may therefore be more appropriately thought of as an autonomous agent. Since artificial intellects need not share our human motivational tendencies, it would be up to the designers of the superintelligence to specify its original motivations. Because a superintelligent AI would be able to bring about almost any possible outcome and to thwart any attempt to prevent the implementation of its goals, many uncontrolled unintended consequences could arise. It could kill off all other agents, persuade them to change their behavior, or block their attempts at interference.[80]

However, instead of overwhelming the human race and leading to our destruction, Bostrom has also asserted that superintelligence can help us solve many difficult problems such as disease, poverty, and environmental destruction, and could help us to “enhance” ourselves.[81]

The sheer complexity of human value systems makes it very difficult to make AI's motivations human-friendly.[79][80] Unless moral philosophy provides us with a flawless ethical theory, an AI's utility function could allow for many potentially harmful scenarios that conform with a given ethical framework but not "common sense". According to Eliezer Yudkowsky, there is little reason to suppose that an artificially designed mind would have such an adaptation.[82] AI researchers such as Stuart J. Russell,[83] Bill Hibbard,[57] Roman Yampolskiy,[84] Shannon Vallor,[85] [86] and Luciano Floridi[87] have proposed design strategies for developing beneficial machines.

Actors in AI ethics[]

There are many organisations concerned with AI ethics and policy, public and governmental as well as corporate and societal.

Amazon, Google, Facebook, IBM, and Microsoft have established a non-profit, The Partnership on AI to Benefit People and Society, to formulate best practices on artificial intelligence technologies, advance the public's understanding, and to serve as a platform about artificial intelligence. Apple joined in January 2017. The corporate members will make financial and research contributions to the group, while engaging with the scientific community to bring academics onto the board.[88]

The IEEE put together a Global Initiative on Ethics of Autonomous and Intelligent Systems which has been creating and revising guidelines with the help of public input, and accepts as members many professionals from within and without its organization.

Traditionally, government has been used by societies to ensure ethics are observed through legislation and policing. There are now many efforts by national governments, as well as transnational government and non-government organizations to ensure AI is ethically applied.

Intergovernmental initiatives:

  • The European Commission has a High-Level Expert Group on Artificial Intelligence. On 8 April 2019, this published its 'Ethics Guidelines for Trustworthy Artificial Intelligence'.[89] The European Commission also has a Robotics and Artificial Intelligence Innovation and Excellence unit, which published a white paper on excellence and trust in artificial intelligence innovation on 19 February 2020.[90]
  • The OECD established an OECD AI Policy Observatory.[91]

Governmental initiatives:

  • In the United States the Obama administration put together a Roadmap for AI Policy.[92] The Obama Administration released two prominent white papers on the future and impact of AI. In 2019 the White House through an executive memo known as the "American AI Initiative" instructed NIST the (National Institute of Standards and Technology) to begin work on Federal Engagement of AI Standards (February 2019).[93]
  • In January 2020, in the United States, the Trump Administration released a draft executive order issued by the Office of Management and Budget (OMB) on “Guidance for Regulation of Artificial Intelligence Applications" (“OMB AI Memorandum”). The order emphasizes the need to invest in AI applications, boost public trust in AI, reduce barriers for usage of AI, and keep American AI technology competitive in a global market. There is a nod to the need for privacy concerns, but no further detail on enforcement. The advances of American AI technology seems to be the focus and priority. Additionally, federal entities are even encouraged to use the order to circumnavigate any state laws and regulations that a market might see as too onerous to fulfill.[94]
  • The Computing Community Consortium (CCC) weighed in with a 100-plus page draft report[95] – A 20-Year Community Roadmap for Artificial Intelligence Research in the US[96]
  • The Center for Security and Emerging Technology advises US policymakers on the security implications of emerging technologies such as AI.

Academic initiatives:

  • There are three research institutes at the University of Oxford that are centrally focused on AI ethics. The Future of Humanity Institute that focuses both on AI Safety[97] and the Governance of AI.[98] The Institute for Ethics in AI, directed by John Tasioulas, whose primary goal, among others, is to promote AI ethics as a field proper in comparison to related applied ethics fields. The Oxford Internet Institute, directed by Luciano Floridi, focuses on the ethics of near-term AI technologies and ICTs.[99]
  • The AI Now Institute at NYU is a research institute studying the social implications of artificial intelligence. Its interdisciplinary research focuses on the themes bias and inclusion, labour and automation, rights and liberties, and safety and civil infrastructure.[100]
  • The Institute for Ethics and Emerging Technologies (IEET) researches the effects of AI on unemployment,[101][102] and policy.
  • The Institute for Ethics in Artificial Intelligence (IEAI) at the Technical University of Munich directed by Christoph Lütge conducts research across various domains such as mobility, employment, healthcare and sustainability.[103]

The Role and Impact of Fiction in AI Ethics[]

Main article: Artificial intelligence in fiction

The role of fiction with regards to AI ethics has been a complex one. One can distinguish three levels at which fiction has impacted the development of artificial intelligence and robotics: Historically, fiction has been prefiguring common tropes that have not only influenced goals and visions for AI, but also outlined ethical questions and common fears associated with it. During the second half of the twentieth and the first decades of the twenty-first century, popular culture, in particular movies, TV series and video games have frequently echoed preoccupations and dystopian projections around ethical questions concerning AI and robotics. Recently, these themes have also been increasingly treated in literature beyond the realm of science fiction. And, as Carme Torras, research professor at the Institut de Robòtica i Informàtica Industrial (Institute of robotics and industrial computing) at the Technical University of Catalonia notes,[104] in higher education, science fiction is also increasingly used for teaching technology-related ethical issues in technological degrees.

History

Historically speaking, the investigation of moral and ethical implications of “thinking machines” goes back at least to the Enlightenment: Leibniz already poses the question if we might attribute intelligence to a mechanism that behaves as if it were a sentient being,[105] and so does Descartes, who describes what could be considered an early version of the Turing Test.[106]

The romantic period has several times envisioned artificial creatures that escape the control of their creator with dire consequences, most famously in Mary Shelley’s Frankenstein. The widespread preoccupation with industrialization and mechanization in the 19th and early 20th century, however, brought ethical implications of unhinged technical developments to the forefront of fiction: R.U.R – Rossum’s Universal Robots, Karel Čapek’s play of sentient robots endowed with emotions used as slave labor is not only credited with the invention of the term ‘robot’ (derived from the Czech word for forced labor, robota) but was also an international success after it premiered in 1921. George Bernard Shaw's play Back to Metuselah, published in 1921, questions at one point the validity of thinking machines that act like humans; Fritz Lang's 1927 film Metropolis shows an android leading the uprising of the exploited masses against the oppressive regime of a technocratic society.

The Impact of Fiction on Technological Development

While the anticipation of a future dominated by potentially indomitable technology has fueled the imagination of writers and film makers for a long time, one question has been less frequently analyzed, namely, to what extent fiction has played a role in providing inspiration for technological development. It has been documented, for instance, that the young Alan Turing saw and appreciated G.B. Shaw's play Back to Metuselah in 1933[107] (just 3 years before the publication of his first seminal paper[108] which laid the groundwork for the digital computer), and he would likely have been at least aware of plays like R.U.R., which was an international success and translated into many languages.

One might also ask the question which role science fiction played in establishing the tenets and ethical implications of AI development: Isaac Asimov conceptualized his Three laws of Robotics in the 1942 short story “Runaround”, part of the short story collection I, Robot; Arthur C. Clarke's short “The sentinel”, on which Stanley Kubrick's film 2001: A Space Odyssey is based, was written in 1948 and published in 1952. Another example (among many others) would be Philip K. Dicks numerous short stories and novels – in particular Do Androids Dream of Electric Sheep?, published in 1968, and featuring its own version of a Turing Test, the Voight-Kampff Test, to gauge emotional responses of Androids indistinguishable from humans. The novel later became the basis of the influential 1982 movie Blade Runner by Ridley Scott.

Science Fiction has been grappling with ethical implications of AI developments for decades, and thus provided a blueprint for ethical issues that might emerge once something akin to general artificial intelligence has been achieved: Spike Jonze's 2013 film Her shows what can happen if when a user falls in love with the seductive voice of his smartphone operating system; Ex Machina, on the other hand, asks a more difficult question: if confronted with a clearly recognizable machine, made only human by a face and an empathetic and sensual voice, would we still be able to establish an emotional connection, still be seduced by it ? (The film echoes a theme already present two centuries earlier, in the 1817 short story “The Sandmann” by E.T.A. Hoffmann.)

The theme of coexistence with artificial sentient beings is also the theme of two recent novels: Machines like me by Ian McEwan, published in 2019, involves (among many other things) a love-triangle involving an artificial person as well as a human couple. Klara and the Sun by Nobel Prize winner Kazuo Ishiguro, published in 2021, is the first-person account of Klara, an ‘AF’ (artificial friend), who is trying, in her own way, to help the girl she is living with, who, after having been ‘lifted’ (i.e. having been subjected to genetic enhancements), is suffering from a strange illness.

TV Series

While ethical questions linked to AI have been featured in science fiction literature and feature films for decades, the emergence of the TV series as a genre allowing for longer and more complex story lines and character development has led to some significant contributions that deal with ethical implications of technology. The Swedish series Real Humans (2012–2013) tackled the complex ethical and social consequences linked to the integration of artificial sentient beings in society. The British dystopian science fiction anthology series Black Mirror (2013–2019) was particularly notable for experimenting with dystopian fictional developments linked to a wide variety of resent technology developments. Both the French series Osmosis (2020) and British series The One deal with the question what can happen if technology tries to find the ideal partner for a person.

Future Visions in Fiction and Games

The movie The Thirteenth Floor suggests a future where simulated worlds with sentient inhabitants are created by computer game consoles for the purpose of entertainment. The movie The Matrix suggests a future where the dominant species on planet Earth are sentient machines and humanity is treated with utmost Speciesism. The short story "The Planck Dive" suggests a future where humanity has turned itself into software that can be duplicated and optimized and the relevant distinction between types of software is sentient and non-sentient. The same idea can be found in the Emergency Medical Hologram of Starship Voyager, which is an apparently sentient copy of a reduced subset of the consciousness of its creator, Dr. Zimmerman, who, for the best motives, has created the system to give medical assistance in case of emergencies. The movies Bicentennial Man and A.I. deal with the possibility of sentient robots that could love. I, Robot explored some aspects of Asimov's three laws. All these scenarios try to foresee possibly unethical consequences of the creation of sentient computers.[109]

The ethics of artificial intelligence is one of several core themes in BioWare's Mass Effect series of games.[110] It explores the scenario of a civilization accidentally creating AI through a rapid increase in computational power through a global scale neural network. This event caused an ethical schism between those who felt bestowing organic rights upon the newly sentient Geth was appropriate and those who continued to see them as disposable machinery and fought to destroy them. Beyond the initial conflict, the complexity of the relationship between the machines and their creators is another ongoing theme throughout the story.

Over time, debates have tended to focus less and less on possibility and more on desirability,[111] as emphasized in the "Cosmist" and "Terran" debates initiated by Hugo de Garis and Kevin Warwick. A Cosmist, according to Hugo de Garis, is actually seeking to build more intelligent successors to the human species.

Experts at the University of Cambridge have argued that AI is portrayed in fiction and nonfiction overwhelmingly as racially White, in ways that distort perceptions of its risks and benefits.[112]

See also[]

Researchers
Organisations

Notes[]

  1. ^ Müller, Vincent C. (30 April 2020). "Ethics of Artificial Intelligence and Robotics". Stanford Encyclopedia of Philosophy. Archived from the original on 10 October 2020. Retrieved 26 September 2020.
  2. ^ Veruggio, Gianmarco (2011). "The Roboethics Roadmap". EURON Roboethics Atelier. Scuola di Robotica: 2. CiteSeerX 10.1.1.466.2810.
  3. ^ Müller, Vincent C. (2020), "Ethics of Artificial Intelligence and Robotics", in Zalta, Edward N. (ed.), The Stanford Encyclopedia of Philosophy (Winter 2020 ed.), Metaphysics Research Lab, Stanford University, retrieved 2021-03-18
  4. ^ Anderson. "Machine Ethics". Archived from the original on 28 September 2011. Retrieved 27 June 2011.
  5. ^ Anderson, Michael; Anderson, Susan Leigh, eds. (July 2011). Machine Ethics. Cambridge University Press. ISBN 978-0-521-11235-2.
  6. ^ Anderson, M.; Anderson, S.L. (July 2006). "Guest Editors' Introduction: Machine Ethics". IEEE Intelligent Systems. 21 (4): 10–11. doi:10.1109/mis.2006.70. S2CID 9570832.
  7. ^ Anderson, Michael; Anderson, Susan Leigh (15 December 2007). "Machine Ethics: Creating an Ethical Intelligent Agent". AI Magazine. 28 (4): 15. doi:10.1609/aimag.v28i4.2065.
  8. ^ Boyles, Robert James M. (2017). "Philosophical Signposts for Artificial Moral Agent Frameworks". Suri. 6 (2): 92–109.
  9. ^ Asimov, Isaac (2008). I, Robot. New York: Bantam. ISBN 978-0-553-38256-3.
  10. ^ Bryson, Joanna; Diamantis, Mihailis; Grant, Thomas (September 2017). "Of, for, and by the people: the legal lacuna of synthetic persons". Artificial Intelligence and Law. 25 (3): 273–291. doi:10.1007/s10506-017-9214-9.
  11. ^ "Principles of robotics". UK's EPSRC. September 2010. Archived from the original on 1 April 2018. Retrieved 10 January 2019.
  12. ^ Evolving Robots Learn To Lie To Each Other Archived 2009-08-28 at the Wayback Machine, Popular Science, August 18, 2009
  13. ^ Jump up to: a b Call for debate on killer robots Archived 2009-08-07 at the Wayback Machine, By Jason Palmer, Science and technology reporter, BBC News, 8/3/09.
  14. ^ Science New Navy-funded Report Warns of War Robots Going "Terminator" Archived 2009-07-28 at the Wayback Machine, by Jason Mick (Blog), dailytech.com, February 17, 2009.
  15. ^ Jump up to: a b Navy report warns of robot uprising, suggests a strong moral compass Archived 2011-06-04 at the Wayback Machine, by Joseph L. Flatley engadget.com, Feb 18th 2009.
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