Artificial intelligence (AI) is poised to revolutionize various industries, such as farming, education, healthcare, and the military, sparking a debate about its potential impact.
The introduction of AI into the workforce has raised concerns similar to those predicted by political scientist Herbert Simon in 1965, who anticipated that machines would match human capabilities within two decades.
The European parliament’s forthcoming Artificial Intelligence Act is expected to classify the use of AI in education, law enforcement, and worker management as ‘high risk.’
Geoffrey Hinton, a prominent figure in AI, recently resigned from Google due to concerns about its impact on jobs. Members of the Writers Guild of America on strike also warned that AI could replace them before replacing writers.
Philip Torr, an engineering science professor at the University of Oxford, argues that the fallibility of AI tools, which rely on data and algorithms rather than emotions, means that human presence in the workplace will remain crucial.
If we agree with Torr, job types may change. Because this is a natural progression, and previous industrial revolutions have typically resulted in increased employment.
However, Torr compares the influence of large language models (LLMs) like ChatGPT to the advent of word processors, recognizing them as valuable tools that will fundamentally alter work processes.
Many experts share the same optimism and believe that with appropriate education and legislation, automation could bring positive outcomes to the workforce.
However, some anticipate a future where algorithms evaluate and replace workers.
Nevertheless, it is widely accepted that AI will permanently and structurally transform numerous industries. But the question remains the same: in which sectors is AI going to dominate? Perhaps shapes the face?
AI’s impact has focused on interpreting medical scans and tumor detection. Smartphone-based apps are being explored for dementia diagnosis by monitoring the time to complete routine tasks.
Language and Learning Models (LLMs) will significantly influence patients to log their information and transmit it to relevant staff, saving time for healthcare professionals.
AI’s presence in education is expanding, but the extent to which automation is embraced will determine its impact. While some envision a cheaper education system with AI handling tasks like marking and lesson planning, concerns are raised about sacrificing vital human interaction, particularly for disadvantaged students.
The proposal is to use technology to assist teachers without compromising personal attention and disproportionately affecting underprivileged students.
Call centers are adopting emotional AI to manage customer and employee emotions. Voice-tone recognition tools can improve assistance for callers and staff well-being.
However, this technology is seen as surveillance, with potential misuse and biased judgments. Emotions are increasingly important in defining an ideal worker across various sectors.
AI has made advancements in Farming too, but significant progress in robotics is necessary for true disruption. Robots currently lack dexterity and adaptability, making it unlikely for them to replace agricultural workers soon.
However, AI can optimize logistics in farming, posing risks to human workers who may struggle to find alternative employment.
AI investment in the defense sector is humongous, with expectations of shaping the future of warfare. Though current use is lower than anticipated, it is likely to change.
The potential future includes unmanned aircraft replacing human pilots, resulting in faster and more agile combat. Concerns arise about automation bias and reduced human involvement challenging military culture and traditional perceptions of soldiers. The idea of AI outperforming humans and rendering them obsolete is questioned.