Jeffrey Hinton’s dissonant words against the artificial intelligence (AI) industry seem to have opened the floodgates. Over the last two weeks, we’ve seen more negative writing about the industry than ever before. Importantly, these criticisms are coming from important people.Article Atlantic, “AI Is Going to Make Social Media (Much) Harmful: We Must Prepare Now” by Jonathan Haidt and Eric Schmidt. The former is Thomas Cooley Professor of Ethical Leadership at New York University’s Stern School of Business and author of several well-known books. Schmidt is the former CEO and chairman of Google. Article “AI is a waste of time” Atlantic Written by noted journalist Derek Thompson. “Will AI be the new McKinsey?” New Yorker This was by Ted Chan, another prominent journalist. Doug Rashkoff said in an interview last week: Wired The magazine denied the digital revolution and was one of the first to aspire to the socially oriented possibilities of digital technology. He introduced terms like “digital native” and “viral media” into the tech world’s vocabulary.
Jeffrey Hinton’s dissonant words against the artificial intelligence (AI) industry seem to have opened the floodgates. Over the last two weeks, we’ve seen more negative writing about the industry than ever before. Importantly, these criticisms are coming from important people.Article Atlantic, “AI Is Going to Make Social Media (Much) Harmful: We Must Prepare Now” by Jonathan Haidt and Eric Schmidt. The former is Thomas Cooley Professor of Ethical Leadership at New York University’s Stern School of Business and author of several well-known books. Schmidt is the former CEO and chairman of Google. Article “AI is a waste of time” Atlantic Written by noted journalist Derek Thompson. “Will AI be the new McKinsey?” New Yorker This was by Ted Chan, another prominent journalist. Doug Rashkoff said in an interview last week: Wired The magazine denied the digital revolution and was one of the first to aspire to the socially oriented possibilities of digital technology. He introduced terms like “digital native” and “viral media” into the tech world’s vocabulary.
Not only are many key figures outspoken about the potential dangers of the AI industry, but we are also seeing a shift in the tone of criticism. It’s getting tougher. The point raised by Haidt and Schmidt in their article that AI technology could be misused by vested interests and lead to further misinformation and disharmony in society is undoubtedly a serious issue.but New Yorker This article raises more serious questions. It asks whether AI technology is a tool that people with money use to get more out of the efforts of others. Will it encourage more concentration of wealth in fewer people? Moreover, can the AI industry improve global inequality and improve the standard of living of ordinary people?
Not only are many key figures outspoken about the potential dangers of the AI industry, but we are also seeing a shift in the tone of criticism. It’s getting tougher. The point raised by Haidt and Schmidt in their article that AI technology could be misused by vested interests and lead to further misinformation and disharmony in society is undoubtedly a serious issue.but New Yorker This article raises more serious questions. It asks whether AI technology is a tool that people with money use to get more out of the efforts of others. Will it encourage more concentration of wealth in fewer people? Moreover, can the AI industry improve global inequality and improve the standard of living of ordinary people?
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Amid this growing criticism of the AI industry, what has surprised me most is the widespread silence of its apostles. Not a single celebrity has stepped forward to provide answers to the various accusations being made against the industry. This silence does not bode well.
The news that an AI tool could create an image of Pope Francis in a white down jacket made headlines around the world. But does this technology that creates fake images do anything to improve the lives of ordinary people? It just reinforces that people are just using AI tools as toys. There is a growing belief that such AI technology will be used primarily to create deep fakes or to impose falsehoods, thereby creating disharmony in the world. Therefore, this kind of AI tool could ultimately do more harm than good to the industry. Unfortunately, it is precisely these generative AI technologies that dominate the news headlines everywhere. Therefore, the AI industry needs to project use cases that have truly changed the lives of ordinary people.
Tuberculosis (TB) is one of the most contagious diseases in the world. Tuberculosis claimed 1.5 million lives in 2020 alone. Prevention and early diagnosis of tuberculosis are the keys to treatment. A chest radiograph is the most sensitive and cost-effective method for screening for tuberculosis and other lung diseases. However, there is a lack of adequately trained radiologists who can read all chest radiographs on time, leading to delays in tuberculosis diagnosis. AI companies like Qure.ai have developed technology products that can read chest x-rays much more accurately than radiologists. This use case does not mean that AI will make radiologists obsolete. However, it is intended to provide radiologist services in so many places around the world where there are no radiologists.
India’s Digital Public Infrastructure (DPI) efforts have demonstrated the use of AI technology to bring real change to millions of people, including those at the bottom of the pyramid. Our DPI scheme spans areas such as financial inclusion, healthcare, education, agriculture and many other public services. Interestingly, his DPI scheme in India also introduces advanced AI technologies such as machine learning, conversational AI tools, and image analysis.
For a long time, one of the greatest challenges in biology has been to solve the protein folding problem of understanding the molecular structure of proteins and their various functions in dysfunction in healthy or diseased bodies. . It has been a very difficult problem to decipher because the structure of proteins is very complex and proteins can change their structure in milliseconds or even microseconds. But last year, an artificial intelligence program called AlphaFold, developed by AI company DeepMind, was able to predict the 3D structures of nearly every known protein (about 200 million in all). This breakthrough is expected to revolutionize the medical field around the world.
Generative AI technology that generates deepfakes and writes school essays for lazy students cannot be allowed to become a paragon for the industry. If the AI industry is to cope with the current wave of criticism of the impact of AI tools, it needs to demonstrate use cases that make a real difference to people’s lives at large. It’s good for the AI industry that there are many examples like this. The industry needs to talk more about them.
Biju Dominic is Chief Evangelist of Fractal Analytics and Chairman of FinalMile Consulting.
