Is the AI revolution overrated?
Fact Box
- On August 31, 1955, “artificial intelligence” was coined in a 2 month study by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannong. However, the official birthdate of AI is considered to be a year later when the official workshop was created.
- Shakey was the first mobile robot with the ability to consider and analyze its surroundings; Shakey was the subject of AI research from 1966 to 1972.
- The first artistic rendering of an AI program was created by abstract painter Harold Cohen in 1974 called Aaron.
- A November 2023 Pew Research poll found that 52% of Americans are concerned about AI in daily life, however 10% are excited about AI development.
Danna (No)
It is premature to label the AI Revolution, sometimes called the Fifth Industrial Revolution, overrated. Embracing rather than resisting is often the path to progress and comfort.
AI’s purpose is to automate processes, eliminate human error, and achieve efficiency through collaboration. Its potential remains largely untapped. Healthcare, education, finance, and other critical sectors carry immense opportunities for improvement, with AI already making an impact. Plus, there's no better place to reduce human error than healthcare.
Patterns like the Gartner Hype Cycle track how inflated expectations give way to long-term performance. Major corporations have integrated AI into their core businesses, and governments worldwide are investing in AI-driven initiatives in healthcare, defense, and infrastructure, indicating confidence in its future.
The current pause in AI's rapid expansion reflects the need for ethical governance and oversight to establish security and proper parameters. AI's reliance on large datasets, risk of bias, and limitations outside its programmed scope are challenges that we must be aware of—challenges that require solutions. Resistance often stems from assumptions that AI tracks individuals, takes jobs, or advances a larger agenda. The fact is AI is fueled by machine learning and deep learning. However, the 'black box' issue (where AI decisions are not easily explainable) adds to transparency concerns. Jobs lost to technological advances are often replaced by new ones.
Fear of the unknown is natural, but so is humanity’s ability to adapt. Once society embraces AI, the unification will foster a reformation characterized by brilliance and growth. The practical conclusion is ethical governance, ensuring AI complements human efforts and propels us into a new era of cooperation between mind and machine.
Andrew (Yes)
AI, as we currently know it, isn’t actually artificial intelligence; it’s a variety of deep learning and language learning models that predict what is the most likely response. This is fundamentally different from human intelligence, which responds to situations with empathy, creativity, wisdom, and a multitude of other distinctly human qualities. While the so-called AI revolution may seem like it is going to offer a wealth of new opportunities, the reality is that AI pushes us toward the average and the predictable, rather than creating anything new or novel. Even worse, these mediocre approximations of human creations are entirely devoid of the imperfections and human touches that often endear us to works of art. Sure, some AI can create perfect pitch, rhythm, sentence structure, or field of depth, but without the real human feel, it’s just soul-less data.
Large language models like Chat GPT use huge amounts of energy largely due to the enormous amounts of data it must consume. Many of those raving about the future of AI fail to recognize the planet-burning carbon footprints these technologies produce. This is made even more outrageous when we consider how needless some of these products are. Ironically, your “AI” coffee maker may contribute to the extinction of the very bean it brews. We shouldn't be so willing to burn up our only liveable environment in exchange for frustrating and ineffective chatbots.
Moreover, AI products are full of technical problems like 'hallucinations,' bias, and ‘model collapse,’ as they have increasingly taken the place of human ethical judgments in more industries, in which they can massively err. Those hyping these products overlook the privacy, copyright, security, job displacement, and many other issues accompanying the brave new world of AI.
0
2
14
Share
0 / 1000