And is a answer, but not the only answer – here is why he can’t replace people

When we emerge from the season wrapped by Spotify, many will agree that last 12 months summaries looked a bit … in a different way, disappointing some who announced this iteration “flop“Due to excessive rely on generative artificial intelligence, just a 12 months after Spotify’s clear release of 1,500 people.

This style of narrative is not unique to the music industry. This is a constant conversation in various sectors: how do corporations create a balance between AI advantages and its human costs? How should AI be regulated? And who is responsible for the AI ​​police while developing answers to those questions?

Balancing act

Potential offers AI to Well documented: Intelligent automation of clergy tasks and advanced decision making, increased ability to process and inference from data, and the ability to mimic human creativity.

Implications in the real world are significant. Publications were questioned, for example, “Do we still need software programmers” in a world where artificial intelligence can write a code or, in the legal industry – where even younger colleagues can Bill almost USD 1000/hour for a style of legal research and development that AI is already becoming adept When repeating-or settled to the settlement feasible (Or ethical).

The qualifications of artificial intelligence are also well documented: ethical and moral concerns focusing on prejudice, privacy and loss of labor; environmental worries; AND existential fears On the mixing of human delivery by inhuman models trained in the production of the same people they struggle to mimic (or replace).

Regulatory dance

The collective uncertainty of today’s, largely initially regulated Landscape AI is not completely different from earlier technological interference. For example, people familiar with the music industry will recall a restless transition to digital streaming stream, seemingly cannibalizing revenues from paid collection. Downloading increased in importance as a sort of defensive maneuver – an attempt to avoid wasting something in the post-captar world, which he thoroughly destroyed Sales boom based on CD from the 90s. Even the album itself was only the last of many dominant twentieth century music technologies arise and fall. In each case, the industry has adapted and survived.

In some cases, the internal industry response took place in a vacuum; In other legislative, regulatory or judicial actions shaped this answer – from a recent laws Adaptation of licensing practices to stream reality, to the 90s and 2000. attemptUntil World War II Consent decrees Applied to licensing associations created by right -wingers in the early Radio Days.

However, in each of those cases, the response of the current government branch took place several years After Industrial growth of appropriate technology. The same could be real in the AI ​​case. Dozens AI Bills They are currently stuck before Congress. Dozens of AI focused on AI LawsuitsAlso proceed through the judiciary. At the regulatory level it is significant uncertainty As for how the upcoming change in executive control will affect AI’s policy, even if the current regulatory efforts fallen significantly behind the initial terms.

It will take some time. In temporary industries, they’ll proceed to experiment with latest ways of using artificial intelligence. And bad actors will find latest ways to make use of this insufficient border.

Who means the store?

Meanwhile, without an effective regulatory scheme, the industries leave these bad entities self -sufficient. But whose work is exactly?

There are many practical realities in the music industry that are particularly attractive to fraudsters: a vast streaming ecos system in which tens of millions of songs are sent every month; billions of hours of music that are broadcast each 12 months fractions penny; and a complicated license system in which stream transmission services best prepared for police fraud often pay a blanket Percentage of revenues (as an alternative of stream) to license music, and due to this fact perhaps they are less encouraged to police fraud than an individual creator, whose participation in the total streaming dough necessarily narrows when the fraudulent slices of this dough disappear, but who has no realistic agent for counteracting .

In one loud example was a person accused For use of artificial intelligence to create distributed music under False nickname “Artist” And then re -use of powered AI bots to inflate the variety of streams and exhaust about $ 10 million from the royal pool available to legal artists. The incontrovertible fact that someone could cheat the music industry for money profits is not surprising; This is a story as old as time. Two things are noteworthy: the alleged fraud in this matter only turned to AI After Traditional fraud methods had Flounder; And it took almost it six years That his plan is marked by a license entity in the industry (and it will probably be completely expanded many stream transmission services themselves).

Regardless of the federal prosecutor’s office, even this instance is only a decline in a much larger bucket AI fraud This is either completely undetected, or it is not detected longer than if the incentives and the ability to fraud are leveled or if there have been effective regulatory framework for police fraud.

Human touch

While you may understand why corporations in sectors want to simply accept artificial intelligence in zeal for performance, the latter headlines warn against the absolute approach. And it is some Answer, no . answer. Although it might be tempting with a lack of patience when governmental entities are behind industrial experiments with AI, regulatory and regulated bodies, they need to proceed caution, balancing each innovations and honesty, each performance and organization of man-not only because it is This is the right thing to do, but because we have many examples why abandoning this approach is self -sufficient.

Both art and fraud come from human ingenuity, and the effects of each are experienced by real people. Even if each could be improved or disturbed by AI, each are essentially human ventures. When the AI ​​infant transforms into uncertain periods of puberty, each industries and regulatory bodies should work properly.