Introduction

In recent decades Artificial Intelligence (AI) has made tremendous progress, impacting several industries and changing the way we live, work, and interact with technology. As we move toward 2040, AI is expected to become more integrated into every facet of our lives, sparking important questions: Will AI turn into humanity’s final true friend, offering answers to problems that are complicated and taking humanity beyond the borders of progress one step further? Or could it be the start of new sets of social challenges — sets of problems that put at risk outcomes and processes we are not yet equipped to handle?

This article looks at the double-edged sword of what the future holds in store for AI in 2040 and how it can become a game changer for humanity, or pose a threat. In this blog we will go over the rise of AI using the PAS (Problem, Agitate, Solution) framework and break down the unseen risks of it and how we can make it rise to be our ally.

The Problem: The Unstoppable Growth of AI in 2040

• From healthcare and finance to retail and more: AI has become a driving force throughout sectors. By 2040, we expect AI to pervade daily life across all the technologies that are autonomous, intelligent homes, and even transform entire industries through automation. Nevertheless, the fast evolution of AI produces new issues.
• The problem also contains the obvious fear that AI will overtake human intelligence, a prospect that which experts call ‘the singularity,’ a hypothetical time when machines could develop without human intervention. It has sparked anxiety about job substituting, the ethical handling of AI, the prospect of privacy violation, and to whom the control of smart systems will lie.

Autonomous Systems: A Preview of AI in 2040

• Autonomous vehicles are one early story of AI’s power and a preview of the kinds of risks it represents. More accidents fewer, cleaner energy use, and more traffic efficiency are some of the promises AI-driven cars are being made to deliver. Yet this requires raising very serious legal and ethical questions. Last year, a fatal accident involving a self-driving Uber vehicle in Arizona prompted questions about who is responsible if an AI fails. Autonomous systems won’t stay on the road — they’ll be everywhere by 2040. In healthcare — AI could handle diagnoses, in sales — it could hold the purse strings and in law enforcement — it could be used to track people. Who is accountable for mistakes that happen? Errors by AI in these sectors have devastating consequences.

Agitation: The Hidden Threats of AI in 2040

• As AI keeps getting more and more power there is risk for society to handle. They include the significant displacement of jobs, privacy concerns and AI can potentially create the inequality gap.

Job Displacement: The Rise of Automation AI in 2040

• Widespread disruption in the workforce is the result of AI’s ability to perform routine, repetitive tasks faster, and more accurately than humans. In a McKinsey & Company report, it is possible that as many as 375 million workers around the world could be displaced by automation by 2040. Manufacturing, transportation, and customer service jobs are very exposed.
• The transition won’t be easy but AI was created to come up with new opportunities. A lot of money will be required to reskill millions of workers via education and workforce training programs. Unless there’s proactive immediate action, AI can exacerbate already existing gaps between socioeconomic classes, leaving behind those unable to adapt to whatever unnatural future it brings.

Lack of transparency of AI tools in 2024

• Unfortunately, the most troubling aspect of AI is that it can propagate bias. Data drives AI systems, if that data is biased so will the results. Facial recognition software has accurately been able to misidentify people of color at higher rates than white individuals. This highlights a broader ethical issue: As AI begins to take on decision-making roles across different fields from law enforcement to hiring, is it even possible for it to make decisions that are fair and unbiased? By 2040,
• ‘AI Ethics’ will be a topic of public contention. But how do we make sure that AI is deciding based on human values and that social justice prevails?

The Abnormality: Should We Be Afraid? [ AI in 2040 ]

• There’s nothing science fictional about the idea that AI would grow more intelligent than humans and continue to do so without human guidance, the singularity. Some people think this moment is a long way off, while others think it’s possible in the next two decades. If machines find a way to get smarter than us, will they do so in our interest or not?
• These raise existential questions about what we’ll be and what humanity will mean in a world where machines could be operating outside our control. Can AI continue to stay a tool for human progress, or can it advance to a point where it drastically changes the way of life we know?

Solution: Making AI Our Ally in 2040

At the same time AI, may well be an incredible ally for humanity regardless. We need to develop its power without sacrificing its risks – we need to take a strategic and ethical approach.

1. Understandably, an important step for those seeking to comply with regulations relating to CBD is to establish strong regulatory frameworks that will guide how CBD should be sold. AI development is progressing and there needs to be strong regulations worldwide. It is the government’s and international organizations’ responsibility to design, test, and deploy AI systems with frameworks to define the design, testing, and deployment of such systems. An early step in the direction of all this is the EU’s General Data Protection Regulation (GDPR) which sets standards around data privacy and accountability. By 2040, regulations must go further – including concerns about AI’s ethical implications, transparency in decision-making, and protection of individuals from AI-driven harm. AI in 2040

2. Reskilling the Workforce is the focus Yes, AI will displace lots of jobs but it will also generate new possibilities. As AI continues infesting every industry and accompanying robotic workforce moves to monopolize various workplaces, governments, and businesses must invest heavily in their reskilling programs that would help workers easily transition into new roles that AI cannot easily replicate— roles that require creativity, critical thinking, and emotional intelligence. By 2040, only adaptive work will be done, where workers must be able to learn to survive. New industries will grow and people who learn to change will develop new opportunities in an AI world.

3. Embrace AI in Healthcare Perhaps the most exciting of 2040’s possibilities for AI is its potential in healthcare. AI has been used already to diagnose diseases earlier and with better accuracy than human doctors. By 2040, AI could bring personalized treatments and cure diseases that clinicians believed were incurable. AI’s power to process data, along with human medical expertise, could add years to a person’s life, improve patient care, and bring health care to more people around the world.

4. Ensure Transparency in AI Systems Transparency is the true secret behind how to gain trust in AI. Within the next 20 years, AI systems must be designed such that they can explain why they make the decisions that they do. That’s why their decisions and processes are going to have to be clear and understandable, especially when they’re applied to industries such as finance, healthcare, or the judicial system. To make sure these systems are impartial and follow human values, we establish the ethical standards of AI.

5. Foster Human-AI Collaboration What is the future of AI? Not domination, but collaboration. By 2040, AI and humans will work together to get better results. Routine jobs will be taken over by AI, leaving us able to focus on salient, creative, and relational roles. The synergy could add to increases in productivity and job satisfaction in many industries. We know from studies already that AI has the potential to grow global GDP by more than 6 percent by 2040. Success depends on the fact that AI will work as an addition to human strengths rather than a substitution of them.

Here are the top 5 AI systems widely used in daily life and their growth trends:

1. Siri (Apple) Use Case: Apple calls it a voice assistant for managing tasks, answering questions, composing messages, and controlling smart home devices. Growth: Millions of iPhones, iPads, and Macs around the globe all have Siri built in. The demand for Siri keeps growing, and growing as more people use voice search and smart devices. With natural language processing, Siri gets better and better, getting more user and intuitive.

2. Google Assistant Use Case: Google’s AI voice assistant for everything from setting reminders to managing Google-connected devices. Growth: Google Assistant is baked into Android phones, Google Home smart speakers, and third parties. The ecosystem for AI is, however, dominated by Google, which continues to invest in AI to build better Assistant with more multilingual support and better awareness of context

3. Amazon Alexa Use Case: It’s used primarily for things like telling Amazon’s voice-controlled assistant in smart homes to turn on the lights, power the house, ask a question, and play music. Growth: Millions of Amazon Echo devices, smart TVs, and other household gadgets are all embedded with Alexa. Amazon continues to grow Alexa’s ecosystem, as the company partners with more manufacturers. Alexa is taking off as a part of the rise of smart homes, where Amazon is trying to make Alexa sound more human and connected.

4. Tesla Autopilot Use Case: Driver Assistance System (DAS) based on AI in Tesla vehicles for semi-autonomous driving. Growth: As Tesla incorporates more sophisticated driving functions through AI, Tesla’s Autopilot has made huge advances. With the demand for electric and autonomous vehicles increasing rapidly, AI for self-driving technology is quickly in development. Full Self-driving (FSD) is how they get there as the Autopilot continues to mature.

5. ChatGPT (OpenAI) Use Case: Use of AI-generated text for customer service, content creation, coding as well as general conversational tasks. Growth: Since being adopted in businesses, educational institutions, and by individuals to write, brainstorm, and solve problems, ChatGPT has seen its usage skyrocket. The exponential growth of GPT-4 is due to openAI’s updates that have made the tool more powerful and versatile. ChatGPT is quickly becoming integrated into multiple applications and platforms, and its presence is spreading out to all industries.

Various governments have banned or restricted AI technologies …

1. Facial Recognition: Clearview AI Countries Banned: France, Italy, UK, USA(though still the monarchy), Australia, Canada. Reason for Ban: Face recognition technology by Clearview AI, which has been lambasted for collecting billions of images online without permission, has been put at the epicenter of violating privacy, largely as a result of this deliberate practice. Its use has been banned by various governments, due to worries about invasion of privacy, mass surveillance, or lack of transparency over what data is being used.

2. China’s AI Surveillance Systems Countries Banned: Sanctions EU (Sanctions) Partial United States (Partial) Reason for Ban: It has used China’s advanced AI-driven surveillance systems — facial recognition and behavior tools — to enforce surveillance and end the Uighurs. That doesn’t sit well with the U.S. or the EU’s human rights concerns, both of which imposed bans and sanctions on Chinese companies such as Hikvision and Hikvision.

3. Deep-Nude (Deep-fakes from (AI)) Countries Banned: This list contains (voluntary platform bans) the U.S, and Europe Reason for Ban: The AI app that allows people to delete women in images, Deep-Nude, rapidly lost if not all rights after praise, but widespread criticism. Such a violation of privacy would be considered a huge example of harassment or other exploitation via deep-fake AI.

4. AI-Driven Autonomous Weapons Countries Banned: Several countries have been through various treaties and conventions. Reason for Ban: Several nations and organizations, including the United Nations, have called to ban autonomous weapons or killer robots. The greatest concern is that such weapons would enable the human desert to make life-or-death decisions from outside of human control that could start an uncontrollable escalation of conflict and break international law.

5. Lee Luda, South Korea’s AI Chatbot Country Banned: South Korea Reason for Ban: Exceptionally, an AI chatbot named Lee Luda — supposedly designed to impersonate a 20-year-old university undergrad — was taken from platforms after it was realized to behave in a racist and homophobic manner, including to others protected by the Equality Act. Concerns of the chatbot spreading harmful content were behind the ban.

6. Facial Recognition in Public Spaces of EU countries is the law. Countries Banned: Among them, Belgium and Luxembourg Reason for Ban: Because of the potential for misuse of AI-based facial recognition by law enforcement, and the risks of surveillance and privacy concerns in public spaces, the European Union is highly cautious about deploying such technology. To prevent mass surveillance, the use of the service has been banned or severely restricted in some member countries.

7. Predictive Policing (US cities, EU) Cities Banned: Boston (US), multiple cities in the EU, San Francisco, Oakland Reason for Ban: Predictive policing aimed at using AI systems has been banned in several cities because of fears about racial bias and being wrong about who will or won’t commit a crime. The algorithms, unfortunately, also tend to incorrectly prioritize minority communities, thereby yielding unfair policing actions.

8. Tay (Microsoft AI Chatbot) Country Banned: Global takedown (Microsoft) Reason for Ban: Within hours of being presented with slurs against Islamism, racism, and Islamophobia on Twitter, Microsoft’s Tay chatbot was swiftly curtailed for slinging profane and inappropriate comments, including racism and sexism. Users on social media manipulated the AI and it showed the public dangers of unsupervised AI.

9. Zao (Deep-fake App) Country Banned: Making you partially restricted in other countries; Reason for Ban: A Chinese deep fake app that lets users insert their faces into famous movie scenes was banned because it risked identity theft, privacy problems and potentially being used for misinformation. This was an alarm for the world– the ease with which users could create realistic deep-fakes.

10. Partial bans of Tik-Tok’s AI Algorithms Countries Banned: India, U.S. (threatened by ban), eyed by Europe Reason for Ban: On the back of concerns about data privacy, national security, and its capacity to affect younger audiences with harmful or misleading content, however, TikTok has used AI to provide recommendations for personalized content. Other countries have raised concerns about what data is shared with the Chinese government, and India is completely banning the app.

11. Emotion Recognition AI Countries Banned: U.S. (cities), European Union (proposed regulations). Reason for Ban: Emotion recognition AI — that promises to detect a person’s emotions (or even anger) by analyzing their facial expression — has been banned because of the lack of scientific proof and ethical concerns. It could encourage discrimination, invasion of privacy, and excessive surveillance, which governments fear.

12. Political Content (Various Countries) Countries Banned: U.S. (state level restrictions); China (partial) Reason for Ban: Many countries including Russia and the UK have banned or restricted deepfake technology, most notably in the area of political speech because of fears about spreading misinformation and agitating the population ahead of elections. Several of these countries have even passed laws about AI-generated deepfakes in their political campaigns. Privacy concerns, ethical issues, potential for misuse, and concerns about human rights violations have led to these AI technologies and application bans or restrictions. Recently laws and regulations have been passed to stop the risky effects of AI technology.

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