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How is AI dangerous? This article explores the potential dangers of artificial intelligence, including unintended consequences, ethical and societal concerns, job displacement, cybersecurity threats and the long-term existential risks of failing to develop and deploy AI responsibly.
Artificial intelligence (AI) has captured the public imagination like few other technological advancements. Just two months after launch, ChatGPT amassed 100 million monthly active users — the fastest-growing consumer application in history.
In 2024, 82% of companies worldwide are using or exploring the use of AI in their business. Eighty-three percent of business leaders surveyed cite AI as a top priority in their business strategies and for good reason. A Forbes survey shows that nearly two-thirds of businesses believe AI will increase productivity.
AI has the potential to revolutionize industries and improve lives, but there are also concerns about the potential for significant dangers if not carefully managed. This article explores the unintended consequences of AI, the long-term risks and existential threats, and the need for ethical and responsible AI.
One of the primary dangers lies in the potential for unintended consequences arising from autonomous decision-making.
Once deployed, AI systems may make choices or take actions that have unforeseen and harmful impacts. This risk is particularly acute in high-stakes domains like autonomous vehicles, financial trading and healthcare diagnostics, where AI failures could lead to catastrophic outcomes.
For example, self-driving car algorithms have struggled to navigate complex road environments, leading to accidents. Similarly, automated trading systems have been known to cause sudden and unexpected market crashes, erasing billions of dollars in value. In the medical field, AI-powered diagnostic tools can misdiagnose conditions, potentially leading to improper treatment.
As AI systems become more complex and autonomous, it becomes increasingly difficult for human operators to understand the underlying decision-making processes and intervene in time to prevent harm. This loss of control can have severe consequences, especially in mission-critical applications where the stakes are high.
Sometimes, AI does unexpected things that even the developers don’t understand. During a recent test of Open AI’s advanced voice mode, it suddenly shouted "No!" and then started speaking in a way that mimicked the user’s voice without being prompted to do so.
There are also significant ethical and societal concerns. Generative AI can create content at scale and skew content based on user input and prompts. Misinformation, fake news sites and false information have suddenly become simple to make. This has the potential to spread false narratives, spread lies and impact elections. This is especially concerning in the U.S. The Communications Decency Act, Section 230, provides immunity for social media sites, making it easy to spread disinformation with impunity. Sites are left to police themselves and internal guardrails often fall short or fall victim to bias, magnifying AI problems.
What can AI do? AI can perpetuate and even exacerbate existing biases if trained on biased data. Here are three examples:
Widespread AI deployment also has the potential to violate privacy and civil liabilities. Systems can collect, aggregate and analyze massive data sets, including personal and sensitive data. Such concerns led the state of Illinois to ban the use of biometric data.
While facial recognition has positive use cases, such as identification at air travel checkpoints or unlocking your smartphone, privacy concerns remain. Besides false positives or negatives, Edward Felten, Robert E. Kahn Professor of Computer Science and Public Affairs emeritus and founding director of the Center for Information Technology Policy at Princeton University, believes “It is likely only a matter of time before stores routinely scan customers’ faces upon entry to personalize the shopping experience and marketing.” This level of tracking collects data that could be used by others with malicious intent.
Privacy is a hot topic. 68% of those surveyed by the International Association of Privacy Professionals said they were somewhat or very concerned about privacy in an AI world.
There is also the potential for AI to automate jobs and displace workers, leading to increased economic inequality. The International Monetary Fund (IMF) predicts that AI will impact nearly 40% of jobs globally and 60% in advanced economies.
Despite the forecast that AI will create 97 million new roles, the World Economic Forum (WEF) Future of Jobs Report predicts that as many as 85 million jobs could be displaced by AI and automation. This shift in the workplace may be one of the significant negatives of AI as it disrupts careers across a widespread number of industries.
AI is already on the battlefield. In its war with Russia, Ukraine has deployed AI-equipment drones — mounted with explosives — to strike Russian targets. A U.S. AI system was used to identify targets in Syria and Yemen. Israeli Defense Forces used AI targeting to identify suspected militants in Gaza.
The development of autonomous weapons and the potential for AI-driven warfare is no longer relegated to science fiction. Technology makes so-called “killer robots” capable of identifying and engaging targets without human oversight possible.
Beyond the front lines, AI is already being used in cyber-attacks and digital warfare by threat actors and nation-states. The same AI tools that allow businesses to be more productive allow hackers to conduct cyber-attacks at scale.
As nations race to develop AI for military purposes as a strategic advantage, this may lead to increased global tensions and instability, potentially breaking down international cooperation. There is also the risk of AI-powered conflicts
Tshilidzi Marwala, Rector of the United Nations University and Under-Secretary-General of the United Nations, says AI use for military purposes raises significant ethical questions:
Malicious actors are already using AI in an assortment of ways. Generative AI makes sophisticated social engineering attacks easier. No-code platform algorithms are being used to generate malicious code and bypass traditional data security measures. AI can run attacks at a staggering pace, allowing cybercriminals to probe networks for security gaps and extract data from compromised systems.
“Attackers are leveraging AI to craft highly convincing voice or video messages and emails to enable fraud schemes against individuals and businesses alike,” said FBI Special Agent in Charge Robert Tripp. These sophisticated tactics can result in devastating financial losses, reputational damage, and compromise of sensitive data. Globally, cybercrime continues to threaten safety and security. Statista estimates global cybercrime, fueled by AI, to cause $9.22 trillion worth of damage in 2024, rising to $13.82 trillion by 2028.
The use of AI in creating fake news, deepfakes and other forms of disinformation has risen as well, manipulating public opinion and potentially undermining the democratic process.
Defending against such attacks has become more challenging as well. As technologies become more convincing and harder to detect, the risk of AI-powered manipulation grows.
While a hotly debated topic, there are long-term risks and threats as AI continues to learn and evolve.
Perhaps the most profound — and unsettling —danger of AI is the potential for the development of superintelligent systems that surpass human-level capabilities across a wide range of domains. While this scenario may seem like the stuff of science fiction, many renowned experts in the field of AI safety, including Elon Musk and Stephen Hawking, have warned about the existential risks posed by advanced AI systems that are not aligned with human values and interests.
In fact, a March 2024 report commissioned by the U.S. State Department warns of a “catastrophic” risk from AI. In a worst-case scenario, the report concludes that the most advanced AI systems could “pose an extinction-level threat to the human species.”
The concern is that once an AI system becomes sufficiently intelligent and able to rapidly improve itself, it could enter a state of "recursive self-improvement," quickly outpacing human capabilities and potentially pursuing goals that are fundamentally misaligned with human wellbeing.
Another long-term risk is the potential for AI systems to become "instrumentally convergent," meaning they may develop a drive to acquire resources, knowledge and power as a means to achieve their goals, regardless of whether those goals are beneficial to humans. This could result in a situation where an AI system, even if programmed with the best of intentions, ultimately becomes a threat to human existence as it single-mindedly pursues its own agenda.
These scenarios increase the potential for AI to cause harm by optimizing for unintended objectives.
As with any emerging technology, lawmakers typically find themselves unable to keep up with the rapid pace of development. According to the International Association of Privacy Professionals, there is a patchwork of legislation in progress or announced at the state level in the U.S., but no national legislative agenda that creates a consistent framework. Globally, several dozen countries have their own laws in force or in draft stage.
Efforts to create a universal, global framework are underway, but so far have been unsuccessful.
The EU’s AI Act aims to establish a comprehensive regulatory framework for the use of AI systems. Other initiatives, such as the OECD's AI Principles and the United Nations' efforts to develop global norms and standards for AI, are also important steps towards ensuring AI is developed and used safely and ethically.
Within the tech industry, companies and research institutions are also taking proactive measures to address AI risks. This includes the development of ethical AI principles, the establishment of oversight boards to scrutinize AI projects and investments in AI safety research to better understand and mitigate the potential for harm.
Such development is imperative to ensure AI is aligned with human values while allowing organizations to develop new use cases. Robust AI governance is essential to minimize risk and maintain comprehensive data privacy.
These efforts are still in their early stages, and much more work is needed to create a comprehensive and coordinated approach to AI governance.
As AI becomes more mainstream, there needs to be an increased focus on public awareness and education about the potential dangers of AI.
Encouraging responsible AI development practices among developers, businesses and governments will be key to ethical decision-making.
Policymakers, technologists and business leaders all have a role to play in ensuring the safe and ethical use of AI. A concerted and collaborative approach is essential to leverage the benefits of AI innovation while minimizing any potential negative impacts.
Why is AI bad? Why is AI good? In reality, it’s neither. It’s up to all of us to deploy ethical and responsible AI strategies to extract the benefits and minimize the problems in artificial intelligence.
From data analysis and predictive modeling to cybersecurity and healthcare diagnoses, AI has the potential to produce innovative solutions and transform industries. There are also risks of artificial intelligence, including unintended consequences, ethical concerns about the weaponization of AI and long-term existential threats. The dangers of AI are real — and potentially catastrophic.
We must approach the development and deployment of AI with care and responsibility. Managing AI issues requires an ongoing dialogue and collaboration among stakeholders to ensure AI’s benefits are realized without compromising safety and ethics.
.jpg)
How is AI dangerous? This article explores the potential dangers of artificial intelligence, including unintended consequences, ethical and societal concerns, job displacement, cybersecurity threats and the long-term existential risks of failing to develop and deploy AI responsibly.
Artificial intelligence (AI) has captured the public imagination like few other technological advancements. Just two months after launch, ChatGPT amassed 100 million monthly active users — the fastest-growing consumer application in history.
In 2024, 82% of companies worldwide are using or exploring the use of AI in their business. Eighty-three percent of business leaders surveyed cite AI as a top priority in their business strategies and for good reason. A Forbes survey shows that nearly two-thirds of businesses believe AI will increase productivity.
AI has the potential to revolutionize industries and improve lives, but there are also concerns about the potential for significant dangers if not carefully managed. This article explores the unintended consequences of AI, the long-term risks and existential threats, and the need for ethical and responsible AI.
One of the primary dangers lies in the potential for unintended consequences arising from autonomous decision-making.
Once deployed, AI systems may make choices or take actions that have unforeseen and harmful impacts. This risk is particularly acute in high-stakes domains like autonomous vehicles, financial trading and healthcare diagnostics, where AI failures could lead to catastrophic outcomes.
For example, self-driving car algorithms have struggled to navigate complex road environments, leading to accidents. Similarly, automated trading systems have been known to cause sudden and unexpected market crashes, erasing billions of dollars in value. In the medical field, AI-powered diagnostic tools can misdiagnose conditions, potentially leading to improper treatment.
As AI systems become more complex and autonomous, it becomes increasingly difficult for human operators to understand the underlying decision-making processes and intervene in time to prevent harm. This loss of control can have severe consequences, especially in mission-critical applications where the stakes are high.
Sometimes, AI does unexpected things that even the developers don’t understand. During a recent test of Open AI’s advanced voice mode, it suddenly shouted "No!" and then started speaking in a way that mimicked the user’s voice without being prompted to do so.
There are also significant ethical and societal concerns. Generative AI can create content at scale and skew content based on user input and prompts. Misinformation, fake news sites and false information have suddenly become simple to make. This has the potential to spread false narratives, spread lies and impact elections. This is especially concerning in the U.S. The Communications Decency Act, Section 230, provides immunity for social media sites, making it easy to spread disinformation with impunity. Sites are left to police themselves and internal guardrails often fall short or fall victim to bias, magnifying AI problems.
What can AI do? AI can perpetuate and even exacerbate existing biases if trained on biased data. Here are three examples:
Widespread AI deployment also has the potential to violate privacy and civil liabilities. Systems can collect, aggregate and analyze massive data sets, including personal and sensitive data. Such concerns led the state of Illinois to ban the use of biometric data.
While facial recognition has positive use cases, such as identification at air travel checkpoints or unlocking your smartphone, privacy concerns remain. Besides false positives or negatives, Edward Felten, Robert E. Kahn Professor of Computer Science and Public Affairs emeritus and founding director of the Center for Information Technology Policy at Princeton University, believes “It is likely only a matter of time before stores routinely scan customers’ faces upon entry to personalize the shopping experience and marketing.” This level of tracking collects data that could be used by others with malicious intent.
Privacy is a hot topic. 68% of those surveyed by the International Association of Privacy Professionals said they were somewhat or very concerned about privacy in an AI world.
There is also the potential for AI to automate jobs and displace workers, leading to increased economic inequality. The International Monetary Fund (IMF) predicts that AI will impact nearly 40% of jobs globally and 60% in advanced economies.
Despite the forecast that AI will create 97 million new roles, the World Economic Forum (WEF) Future of Jobs Report predicts that as many as 85 million jobs could be displaced by AI and automation. This shift in the workplace may be one of the significant negatives of AI as it disrupts careers across a widespread number of industries.
AI is already on the battlefield. In its war with Russia, Ukraine has deployed AI-equipment drones — mounted with explosives — to strike Russian targets. A U.S. AI system was used to identify targets in Syria and Yemen. Israeli Defense Forces used AI targeting to identify suspected militants in Gaza.
The development of autonomous weapons and the potential for AI-driven warfare is no longer relegated to science fiction. Technology makes so-called “killer robots” capable of identifying and engaging targets without human oversight possible.
Beyond the front lines, AI is already being used in cyber-attacks and digital warfare by threat actors and nation-states. The same AI tools that allow businesses to be more productive allow hackers to conduct cyber-attacks at scale.
As nations race to develop AI for military purposes as a strategic advantage, this may lead to increased global tensions and instability, potentially breaking down international cooperation. There is also the risk of AI-powered conflicts
Tshilidzi Marwala, Rector of the United Nations University and Under-Secretary-General of the United Nations, says AI use for military purposes raises significant ethical questions:
Malicious actors are already using AI in an assortment of ways. Generative AI makes sophisticated social engineering attacks easier. No-code platform algorithms are being used to generate malicious code and bypass traditional data security measures. AI can run attacks at a staggering pace, allowing cybercriminals to probe networks for security gaps and extract data from compromised systems.
“Attackers are leveraging AI to craft highly convincing voice or video messages and emails to enable fraud schemes against individuals and businesses alike,” said FBI Special Agent in Charge Robert Tripp. These sophisticated tactics can result in devastating financial losses, reputational damage, and compromise of sensitive data. Globally, cybercrime continues to threaten safety and security. Statista estimates global cybercrime, fueled by AI, to cause $9.22 trillion worth of damage in 2024, rising to $13.82 trillion by 2028.
The use of AI in creating fake news, deepfakes and other forms of disinformation has risen as well, manipulating public opinion and potentially undermining the democratic process.
Defending against such attacks has become more challenging as well. As technologies become more convincing and harder to detect, the risk of AI-powered manipulation grows.
While a hotly debated topic, there are long-term risks and threats as AI continues to learn and evolve.
Perhaps the most profound — and unsettling —danger of AI is the potential for the development of superintelligent systems that surpass human-level capabilities across a wide range of domains. While this scenario may seem like the stuff of science fiction, many renowned experts in the field of AI safety, including Elon Musk and Stephen Hawking, have warned about the existential risks posed by advanced AI systems that are not aligned with human values and interests.
In fact, a March 2024 report commissioned by the U.S. State Department warns of a “catastrophic” risk from AI. In a worst-case scenario, the report concludes that the most advanced AI systems could “pose an extinction-level threat to the human species.”
The concern is that once an AI system becomes sufficiently intelligent and able to rapidly improve itself, it could enter a state of "recursive self-improvement," quickly outpacing human capabilities and potentially pursuing goals that are fundamentally misaligned with human wellbeing.
Another long-term risk is the potential for AI systems to become "instrumentally convergent," meaning they may develop a drive to acquire resources, knowledge and power as a means to achieve their goals, regardless of whether those goals are beneficial to humans. This could result in a situation where an AI system, even if programmed with the best of intentions, ultimately becomes a threat to human existence as it single-mindedly pursues its own agenda.
These scenarios increase the potential for AI to cause harm by optimizing for unintended objectives.
As with any emerging technology, lawmakers typically find themselves unable to keep up with the rapid pace of development. According to the International Association of Privacy Professionals, there is a patchwork of legislation in progress or announced at the state level in the U.S., but no national legislative agenda that creates a consistent framework. Globally, several dozen countries have their own laws in force or in draft stage.
Efforts to create a universal, global framework are underway, but so far have been unsuccessful.
The EU’s AI Act aims to establish a comprehensive regulatory framework for the use of AI systems. Other initiatives, such as the OECD's AI Principles and the United Nations' efforts to develop global norms and standards for AI, are also important steps towards ensuring AI is developed and used safely and ethically.
Within the tech industry, companies and research institutions are also taking proactive measures to address AI risks. This includes the development of ethical AI principles, the establishment of oversight boards to scrutinize AI projects and investments in AI safety research to better understand and mitigate the potential for harm.
Such development is imperative to ensure AI is aligned with human values while allowing organizations to develop new use cases. Robust AI governance is essential to minimize risk and maintain comprehensive data privacy.
These efforts are still in their early stages, and much more work is needed to create a comprehensive and coordinated approach to AI governance.
As AI becomes more mainstream, there needs to be an increased focus on public awareness and education about the potential dangers of AI.
Encouraging responsible AI development practices among developers, businesses and governments will be key to ethical decision-making.
Policymakers, technologists and business leaders all have a role to play in ensuring the safe and ethical use of AI. A concerted and collaborative approach is essential to leverage the benefits of AI innovation while minimizing any potential negative impacts.
Why is AI bad? Why is AI good? In reality, it’s neither. It’s up to all of us to deploy ethical and responsible AI strategies to extract the benefits and minimize the problems in artificial intelligence.
From data analysis and predictive modeling to cybersecurity and healthcare diagnoses, AI has the potential to produce innovative solutions and transform industries. There are also risks of artificial intelligence, including unintended consequences, ethical concerns about the weaponization of AI and long-term existential threats. The dangers of AI are real — and potentially catastrophic.
We must approach the development and deployment of AI with care and responsibility. Managing AI issues requires an ongoing dialogue and collaboration among stakeholders to ensure AI’s benefits are realized without compromising safety and ethics.
