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Challenges of AI



When we think about Artificial Intelligence (AI), names like Chat-GPT, Copilot, and Gemini often come to mind, along with the robots from dystopian films. AI is helping to create solutions for many problems. It also helps us in our everyday lives. Automatic text generation, summarizing texts, and even creating cool images from text are some of the common uses. Industries such as banking, education, healthcare, and many more also use AI due to its high productivity. And while it is helpful, it has also introduced new challenges, which I will discuss in this blog.


  1. Job Losses and Economic Changes: AI can take over many jobs, especially in manufacturing, transportation, and customer service. While it creates new jobs, these often need special skills, leaving many people at risk of losing their jobs. We need to help people learn new skills and provide support to those affected.


  2. Bias and Unfairness: AI systems can be biased if they are trained on biased data. This can lead to unfair decisions in hiring, law enforcement, and lending. We need to ensure AI systems are fair and transparent.


  3. Privacy and Surveillance: AI can blur the line between convenience and privacy. For example, facial recognition can be used for security but also for mass surveillance. We need strong cybersecurity to protect personal information.


  4. Military Use and Autonomous Weapons: AI in the military, especially autonomous weapons, raises ethical questions. These weapons can make decisions without human input, leading to accountability issues. We need to regulate AI in warfare to prevent an arms race.



  5. Misinformation and Manipulation: AI can create realistic fake content (deepfakes) that can spread misinformation and manipulate public opinion. This can undermine trust in media and institutions. We need to find ways to detect and prevent misinformation.


  6. Ethical Dilemmas: AI systems face ethical dilemmas, like whether a self-driving car should prioritize the safety of passengers or pedestrians. AI decision-making is often opaque, making it hard to understand or challenge. We need ethical oversight to ensure AI acts in society’s best interests.


  7. Scams and Cyber-attacks: AI can be used by cybercriminals for scams and attacks. AI-powered bots can carry out phishing scams and DDoS attacks. We need stronger defenses and regulations to protect against these threats.


  8. Existential Risks: There is a long-term risk of creating super-intelligent AI that surpasses human intelligence. If we lose control over such AI, it could lead to catastrophic outcomes. We need to be cautious and ensure AI aligns with human values.


AI has great potential, but we make sure that our brilliant idea doesn't destroy your ethics and values. By establishing regulations and safety measures, we can ensure AI benefits society while minimizing harm. Remember, the future of AI depends on how responsible we humans are while using it.


Works Cited

Diaz, Maria. “ChatGPT vs. Microsoft Copilot vs. Gemini: Which is the Best AI Chatbot?” ZDNET, 13 Aug. 2024, www.zdnet.com/article/chatgpt-vs-microsoft-copilot-vs-gemini-which-is-the-best-ai-chatbot/. Accessed 18 Oct. 2024.


World Economic Forum. “These are the jobs most likely to be lost – and created – because of AI.” World Economic Forum, 2023, www.weforum.org/agenda/2023/05/jobs-lost-created-ai-gpt/. Accessed 18 Oct. 2024.


National Institute of Standards and Technology (NIST). “There’s More to AI Bias Than Biased Data, NIST Report Highlights.” NIST, 16 Mar. 2022, www.nist.gov/news-events/news/2022/03/theres-more-ai-bias-biased-data-nist-report-highlights. Accessed 18 Oct. 2024.


Francis, Sarah Kasthuri. “Navigating the Intersection of AI, Surveillance, and Privacy: A Global Perspective.” United Nations, May 2024, sdgs.un.org/sites/default/files/2024-05/Francis_Navigating%20the%20Intersection%20of%20AI%2C%20Surveillance%2C%20and%20Privacy.pdf. Accessed 18 Oct. 2024.


RAND Corporation. “Military Applications of Artificial Intelligence.” RAND Corporation, www.rand.org/pubs/research_reports/RR3139-1.html. Accessed 18 Oct. 2024.


Ryan-Mosley, Tate. “How generative AI is boosting the spread of disinformation and propaganda.” MIT Technology Review, 4 Oct. 2023, www.technologyreview.com/2023/10/04/1080801/generative-ai-boosting-disinformation-and-propaganda-freedom-house/. Accessed 18 Oct. 2024.


University of the People. “The Ethical Challenges of AI.” University of the People, www.uopeople.edu/blog/ethical-challenges-of-ai/. Accessed 18 Oct. 2024.


Federal Bureau of Investigation (FBI). “FBI Warns of Increasing Threat of Cyber Criminals Utilizing Artificial Intelligence.” FBI, 8 May 2024, www.fbi.gov/contact-us/field-offices/sanfrancisco/news/fbi-warns-of-increasing-threat-of-cyber-criminals-utilizing-artificial-intelligence. Accessed 18 Oct. 2024.


All About AI. “What is Existential Risk?” All About AI, www.allaboutai.com/ai-glossary/existential-risk/. Accessed 18 Oct. 2024.

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