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Business owners often adopt new technology early on without fully grasping its effects on people or their workforce.
As we keep examining the significant impacts and lasting effects of AI on our lives, more serious conversations are emerging regarding different facets of these new technologies. Half of the writers are panicking and believe the end is near, while another group has turned into fervent advocates, fully embracing the trend without clear direction. The rest, along with millions of others, have...business ownersand supervisors, are still in the process of deciding what action to take.
The reality is that we consistently begin utilizing new technologies well before we comprehend their full implications on ourselves, our employees, or our children. We act without fully considering the consequences. Those who embrace new technology early are seldom rewarded in the long term. Indeed, one only needs to observe the harm cell phones are causing to today's youth to grasp the risks of this behavior, yet we continue to fail to learn from our mistakes.
You can review history for hundreds of examples, beginning with clear frauds, such as the chess-playingMechanical TurkIn 1770, a device (with a small human player hidden inside) seemed to play outstanding chess against human competitors. The deception worked for nearly a century and reportedly tricked Ben Franklin. Eventually, a fire destroyed the prop and family confessions revealed the truth that it was all a smart illusion. However, at least the performance wasn't dangerous.
These days, you can still find dedicated supporters in Silicon Valley who are promoting the "fake it until you succeedphilosophy for startups seeking early funding even afterElizabeth Holmesat Theranos made a laughing stock of the entire nation. It seems that if you can convince yourself that something is true, it's not considered a lie. Dishonest crypto figures likeSam Bankman-Friedare a more up-to-date version of the same tired narrative. Naturally, the entire Trump family is deeply involved in the cryptocurrency scandal, eager to see who can swindle the most funds from their loyalist supporters. Regrettably, as events unfold rapidly across all these domains, it's becoming increasingly difficult to distinguish between the fraudsters, opportunists, and lawbreakers from those, if any, who genuinely have legitimate offerings.
One of the most recent recurring topics in ongoing discussions is the growing challenge of identifying content across different media formats—determining what is genuine and what has been artificially produced—and, even more crucially, understanding the significance of this distinction if users, clients, and consumers are unable to differentiate between them. Naturally, it is important when discussing accountability, authenticity, and authorship in academic or professional settings at all levels, but who truly cares whether an incredibly realistic depiction of a key scene or action sequence in a film was generated by a computer, or whether a piece of art or music was digitally created, modified, or enhanced.
We are already attaining over 80 percent of the desired level of realistic quality when rendering "human" characters in movies and videos, at approximately 10 percent of the traditional cost. It's clear that it doesn't require a mathematical expert to predict the direction of progress. You can only avoid a steamroller or a financial analyst for a limited time before facing inevitable consequences.
But it's unclear why this authenticity issue is being viewed as a new critical topic when, as mentioned earlier, it has always been the way entrepreneurs have operated. The main point is that the tools and technology are available for use and will undoubtedly be utilized (regardless of the outcomes), and the key legal and ethical questions revolve around how they should be applied—particularly when the final results are expected to lead to cost reductions for the provider, faster and more efficient access and delivery, and overall positive advantages for the end users.
Two recent cases highlight all the intricacies involved in the creation question, as well as our ongoing inclination to trust the black boxes when we approve of their results, (such as FTX being a prime example) even if we lack understanding or control over what's occurring inside.
The first case involves an advertisement that is continuously aired on all cable channels, aimed at seniors and individuals with hearing loss. The entire pitch forClearCaptionscenters on a display device that presents the party receiving a phone call with real-time text showing what the caller is saying during the conversation. The program is available at no cost to eligible applicants—no insurance needed—and is funded through a federal program. Sounds great—no pun intended.
However, the fine print in the advertisement includes a surprising disclaimer: "IP captioned telephone service may involve a live operator. The operator creates captions of what the other person on the call says. These captions are then sent to your phone." I'm uncertain which aspect of this service is more disturbing—the reality that the technology often fails to perform its intended function or the fact that an individual is listening to every call and both sides of each conversation without proper notification to the participants. Another example of a careless breach of privacy, all in the name of improved accessibility and convenience.
On the other hand, the second scenario represents progress in fundamental technology, something I have personally wanted for many decades, starting from when I first began working.call centersIn various aspects of my businesses. The primary difficulty in managing call centers lies in the natural tension between the sponsors/clients who finance different types of surveys and are very concerned with maintaining their premium brand reputations and customer connections, and, unfortunately, the underpaid individuals working at the call centers who must make hundreds of calls daily at any time in an effort to contact survey participants.
The primary challenge for call centers is the language, accents, and speech styles of callers, who are often not even based in the United States. Over 75 percent of people who agree to take a survey call still say they didn't understand parts of the conversation. As you might expect, Mercedes certainly doesn't want its upscale customers to be called at home in the evening by someone from another country asking about their satisfaction with their new Benz.
So picture how happy and surprised the owners and managers were upon finding out aboutKrispAn AI-powered translator that offers cost-effective, immediate, and precise real-time voice translations along with background noise reduction and accent adjustment. I have written about the latest powerful innovationscall center technologypreviously, but this tool is completely transformative. If you haven't watched the brief demonstration video, I strongly suggest you do so. There are other competitors already present in the market as well such asMurfwhich allows you to select a voice and character to create highly realistic audio.
Once more, the strength of the technology quickly surpasses how perfectly this type of conversion tool is designed for use by various fraudsters and scammers to generate misleading yet highly realistic conversations from any location globally. While artificial intelligence interpretation and conversion can be powerful and beneficial in areas such as tele-medicine and therapy, the initial users and those who utilize it most extensively will likely be criminals.
This entry was first published atTech Bytes Labcom.
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