In today’s rapidly changing and expanding world new technologies plays an important role. Especially if we are talking about recent developments such as Artificial Intelligence models is playing important roles in our day to day life. There is no doubt that AI will help us and our productivity can be increased with the help specific AI algorithm models. But the point is that is AI threat to the existence of Humanity?

Rapid innovation in AI has fueled debate among industry experts about the existential threat posed by machines that can perform tasks previously done by humans. The artificial general intelligence — a machine that’s able to think and experience the world like a human — will happen sooner than expected and will outwit us. Shorter term, they warn our overreliance on AI systems could spell disaster: Disinformation will flood the internet, terrorists will craft new dangerous and cheap weapons, and killer drones could run rampant.

Even Geoffrey Hinton, widely seen as the “godfather of AI” for his seminal work on neural networks, has expressed growing concerns over AI’s threat to humanity, issuing a warning in May about the rapidly advancing abilities of generative AI chatbots, like ChatGPT. “Right now, they’re not more intelligent than us, as far as I can tell. But I think they soon may be,” he told the BBC, forecasting a span of five to 10 years before this happens, as opposed to his previous timeline of 30 to 50 years. Rising concerns about AI’s existential risks have led to a call for a six-month moratorium on AI research — an AI pause — promulgated through an open letter signed by many industry and academic experts, including executives at many companies fueling AI innovation.

AI existential risk: Is AI a threat to humanity?

What should enterprises make of the recent warnings about AI’s threat to humanity? AI experts and ethicists offer opinions and practical advice for managing AI risk.
Rapid innovation in AI has fueled debate among industry experts about the existential threat posed by machines that can perform tasks previously done by humans. Doomsayers argue that artificial general intelligence — a machine that’s able to think and experience the world like a human — will happen sooner than expected and will outwit us. Shorter term, they warn our overreliance on AI systems could spell disaster: Disinformation will flood the internet, terrorists will craft new dangerous and cheap weapons, and killer drones could run rampant.

Others argue, however, that this AI doomerism narrative distracts from more likely AI dangers enterprises urgently need to heed: AI bias, inequity, inequality, hallucinations, new failure modes, privacy risks and security breaches. A big concern among people in this group is that a pause might create a protective moat for major AI companies, like OpenAI, maker of ChatGPT and an AI pause advocate.

“Releasing ChatGPT to the public while calling it dangerous seems little more than a cynical ploy by those planning to capitalize on fears without solving them,” said Davi Ottenheimer, vice president of trust and digital ethics at Inrupt. He noted that a bigger risk may lie in enabling AI doomsayers to profit by abusing our trust”.

Responsible AI or virtue signaling?

It is difficult to find sign letters that primarily serve as virtue signaling without any tangible action or the necessary clarity to back them up,” he said. “In my opinion, such letters are counterproductive as they consume attention cycles without leading to any real change.”

Doomsday narratives confuse the discourse and potentially put a lid on the kind of levelheaded conversation required to make sound policy decisions, he said. Additionally, these media-fueled debates consume valuable time and resources that could instead be used to gain deeper understanding of AI use cases.

“For executives seeking to manage risks associated with AI effectively, they must first and foremost educate themselves on actual risks versus falsely presented existential threats,” Gupta said. They also need to collaborate with technical experts who have practical experience in developing production-grade AI systems, as well as with academic professionals who work on the theoretical foundations of AI.

Most people seem to agree that the existing state of big tech is problematic and that the way these companies are using data is somewhere at the heart of the problem,” Behar said. What’s required, he added, is a greater focus on how to let users see, understand and exercise control over how their data gets processed.

What are realistic AI risks?

If AI doomerism is not likely to prove useful in controlling AI risks, how should enterprises be thinking about the problem? Brian Green, director of technology ethics at the Markkula Center for Applied Ethics at Santa Clara University, said it’s helpful to frame AI risks as those that come from the AI itself and risks that come from the use of AI by humans. Risks from the AI itself range from simple errors in computation that lead to bad outcomes to AI gaining a will of its own and deciding to attack humankind, said Green, author of Ethics in the Age of Disruptive Technologies: An Operational Roadmap, a newly published handbook that lays out what he considers practical steps organizations can take to make ethical decisions.

It’s important to keep on top of known problems, such as AI bias and misalignment with organizational objectives, he said. “Immediate problems that are ignored can turn into big problems later, and conversely, it is easier to solve big problems later if you first get some practice solving problems now.”

Could AI stir up social unrest by displacing workers?

How AI technology is changing the nature of work is one of those issues companies should be focusing on now, according to Andrew Pery, AI ethics evangelist at Abbyy, an intelligent automation company.

With the commercialization of generative AI, the magnitude of labor disruption could be unprecedented,” he said, referring to a Goldman Sachs report predicting that generative AI could expose the equivalent of 300 million full-time jobs to automation.

“Such a dramatic displacement of labor is a recipe for growing social tensions by shifting millions of people to the margins of society with unsustainable unemployment levels and without the dignity of work that gives us meaning,” This may, in turn, give rise to more nefarious and dangerous uses of generative AI technology that subvert the foundations of a rule-based order. Fostering digital upskilling for new jobs and rethinking social safety net programs will play a pivotal role in safely transitioning into an age of AI.

How enterprises can manage AI risks ?

A key component of responsible AI is identifying and mitigating risks that could arise from AI systems, These risks can manifest in various forms, including but not limited to data privacy breaches, biased outputs, AI hallucinations, deliberate attacks on AI systems, and concentration of power in compute and data. It is recommended that enterprises and stakeholders take a holistic and proactive approach that considers the potential impact of each AI risk across different domains and stakeholders to prioritize these risk scenarios effectively. This requires a deep understanding of AI systems and their algorithmic biases, the data inputs used to train and test the models, and the potential vulnerabilities and attack vectors that hackers or malicious actors may exploit.

Conclusion — There are a number of potential benefits of AI. AI can be used to improve healthcare, education, transportation, and many other areas. AI can also be used to create new jobs and to improve productivity.

However, there are also a number of potential risks associated with AI. AI could be used to create autonomous weapons that could kill without human intervention. AI could also be used to create surveillance systems that could track and monitor people without their knowledge or consent.

It is important to develop AI in a way that minimizes the risks and maximizes the benefits. This can be done by ensuring that AI is developed with safety and security in mind. It is also important to develop AI in a way that is transparent and accountable. This means that people should be able to understand how AI works and to hold those who develop and use AI accountable for their actions.

AI is a powerful tool that has the potential to both benefit and harm humanity. It is important to use AI responsibly and to ensure that it is developed and used in a way that benefits all of humanity. The important thing is that in today’s world AI is expanding and we need to use these technologies to boost our productivity along with ensure that the humanity must be alive. There is no doubt that if we are using these technologies in a rapid scale the bad effects will be there. We know that there is already threat of our earth from global warming and many other environmental problems. So the best way is that we have to adopt these technologies and use it wisely according to our need or in other words, we all need to promote sustainable development approach.

Thanks.