The Lantern

AI brings benefits, but also concerns

Written by Clarck Leubou | Oct 2, 2024 7:22:45 PM

Artificial Intelligence (AI) has been revolutionized in the last few years, the benefits and negatives have already been observed. 

AI has transformed industries, economies and the daily lives of the average joe--from self-driving cars by brands like Tesla and virtual assistants like ‘Alexa’ to advanced data analysis. While it has a variety of capabilities and potential, AI has sparked debates around its social, economic and ethical implications. It enhances human life but presents many challenges.    

AI can automate tasks that were once done by humans, which were once time-consuming and repetitive. This automation not only speeds up everything but also reduces human error. For example, in manufacturing industries, AI-driven robots can perform tasks with precision and efficiency, allowing for higher production rates and lower operational costs. Automated systems in sectors like finance and customer service can handle transactions, answer queries and troubleshoot problems quickly and accurately. AI automation is used in different companies’ customer services, usually 24/7 and leads them directly to a solution for their problems. 

Thats beneficial for the companies, but professionals have stated that it takes away human jobs.  “AI could replace the equivalent of 300 million full-time jobs in US and Europe by 2030,” according to a report by investment bank Goldman Sachs.  

 Businesses use AI to analyze customer patterns, most efficient production and sale methods. Its ability to forecast trends and make decisions based on data enhances productivity and profitability. The government could use it to find solutions and help citizens live in a better world by making more informed decisions based on direct data.  

In research, AI helps scientists analyze different data, accelerate the discovery process, and even simulate the behavior of biological systems. This can lead to breakthroughs in various fields, such as medicine, engineering and environmental science. 

However, concerns surrounding AI have risen, its impact on employment, job automation, particularly those involving repetitive or manual tasks, threatens to replace an estimated 25% of the workforce. Industries such as manufacturing, retail, transportation and even finance are experiencing job losses as AI takes over roles traditionally held by humans. These positions typically require specialized skills, making it difficult for workers replaced by AI to transition into new roles without retraining or a degree. It risks making unqualified employees have a revenue ceiling or worse, unemployment and the qualified ones make all the money, this gap would be worse than the present one.  

AI systems depend on the data given by humans, and biases are present in the data, so it can lead to biased outcomes. So, hiring, law enforcement, and criminal justice are impacted. If an AI system is trained on biased data, it may perpetuate harmful stereotypes or make unfair decisions. For example, AI systems used in hiring processes may inadvertently favor certain demographic groups over others if the training data reflects existing biases in hiring practices. 

Ethical concerns in areas like surveillance and privacy have risen. AI-powered facial recognition systems, for example, could violate individual privacy rights and have been criticized for their potential to enable authoritarian governments and help mass surveillance on their citizens. The use of AI in military organizations, such as autonomous weapons, raises further ethical questions about the role of AI in life-and-death decisions. It could also help foreign intelligence spy on the US and be a headache for cybersecurity experts.  

The rise of AI generated images, such as deepfakes, presents risks for misinformation and fraud. Deepfakes can create highly convincing fake videos or audio clips that can be used to spread false information or commit identity theft. As AI technology advances, it will be important to develop security measures to prevent these risks from becoming fact.