CRYPTOREPORTCLUB
  • Crypto news
  • AI
  • Technologies
Monday, June 23, 2025
No Result
View All Result
CRYPTOREPORTCLUB
  • Crypto news
  • AI
  • Technologies
No Result
View All Result
CRYPTOREPORTCLUB

Here’s why the public needs to challenge the ‘good AI’ myth pushed by tech companies

June 23, 2025
158
0

June 23, 2025

The GIST Here's why the public needs to challenge the 'good AI' myth pushed by tech companies

Related Post

New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

June 23, 2025
AI applications are producing cleaner cities, smarter homes and more efficient transit

AI applications are producing cleaner cities, smarter homes and more efficient transit

June 23, 2025
Lisa Lock

scientific editor

Andrew Zinin

lead editor

Editors' notes

This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

trusted source

written by researcher(s)

proofread

AI
Credit: Photos Hobby, Unsplash

While there's been much negative discussion about AI, including about the possibility that it will take over the world, the public is also being bombarded with positive messages about the technology, and what it can do.

This "good AI" myth is a key tool used by tech companies to promote their products. Yet there's evidence that consumers are wary of the presence of AI in some products. This means that positive promotion of AI may be putting unwanted pressure on people to accept the use of AI in their lives.

AI is becoming so ubiquitous that people may be losing their ability to say no to using it. It's in smartphones, smart TVs, smart speakers like Alexa and virtual assistants like Siri. We're constantly told that our privacy will be protected. But with the personal nature of the data that AI has access to in these devices, can we afford to trust such assurances?

Some politicians also propagate the "good AI" promise with immense conviction, mirroring the messages coming from tech companies.

My current research is partly explained in a new book called The Myth of Good AI. This research shows that the data feeding our AI systems is biased, as it often over-represents privileged sections of the population and mainstream attitudes.

This means that any AI products that don't include data from marginalized people, or minorities, might discriminate against them. This explains why AI systems continue to be riddled with racism, ageism and various forms of gender discrimination, for instance.

The speed with which this technology is impinging on our everyday life makes it very hard to properly assess the consequences. And an approach to AI that is more critical of how it works does not make for good marketing for the tech companies.

Power structures

Positive ideas about AI and its abilities are currently dominating all aspects of AI innovation. This is partly determined by state interests and by the profit margins of the tech companies.

These are tied into the power structures held up by tech multi-billionaires, and, in some places, their influence on governments. The relationship between Donald Trump and Elon Musk, despite its recent souring, is a vivid manifestation of this.

And so, the public is at the receiving end of a distinctly hierarchical top-down system, from the big tech companies and their governmental enablers to users. In this way, we are made to consume, with little to no influence over how the technology is used. This positive AI ideology is therefore primarily about money and power.

As it stands, there is no global movement with a unifying manifesto that would bring together societies to leverage AI for the benefit of communities of people, or to safeguard our right to privacy. This "right to be left alone," codified in the US constitution and international human rights law, is a central pillar of my argument. It is also something that is almost entirely absent from the assurances about AI made by the big tech companies.

Yet, some of the risks of the technology are already evident. A database compiling cases in which lawyers around the world used AI, identified 157 cases in which false AI-generated information—so-called hallucinations—skewed legal rulings.

Some forms of AI can also be manipulated to blackmail and extort, or create blueprints for murder and terrorism.

Tech companies need to program the algorithms with data that represents everyone, not just the privileged, in order to reduce discrimination. In this way, the public are not forced to give into the consensus that AI will solve many of our problems, without proper supervision by society. This distinction between the ability to think creatively, ethically and intuitively may be the most fundamental faultline between human and machine.

It's up to ordinary people to question the good AI myth. A critical approach to AI should contribute to the creation of more socially relevant and responsible technology, a technology that is already trialed in torture scenarios, as the book discusses, too.

The point at which AI systems would outdo us in every task is expected to be a decade or so away. In the meantime there needs to be resistance to this attack on our right to privacy, and more awareness of just how AI works.

Provided by The Conversation

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Citation: Here's why the public needs to challenge the 'good AI' myth pushed by tech companies (2025, June 23) retrieved 23 June 2025 from https://techxplore.com/news/2025-06-good-ai-myth-tech-companies.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

How the dominance of big companies like Nvidia is creating a 'split world' in tech shares

Feedback to editors

Share212Tweet133ShareShare27ShareSend

Related Posts

New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
AI

New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

June 23, 2025
0

June 23, 2025 The GIST New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis Gaby Clark scientific editor Robert Egan associate editor Editors' notes This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring...

Read moreDetails
AI applications are producing cleaner cities, smarter homes and more efficient transit

AI applications are producing cleaner cities, smarter homes and more efficient transit

June 23, 2025
The law relies on being precise. AI is disrupting that

The law relies on being precise. AI is disrupting that

June 23, 2025
Bilinear sequence regression model shows why AI excels at learning from word sequences

Bilinear sequence regression model shows why AI excels at learning from word sequences

June 20, 2025
AI image models gain creative edge by amplifying low-frequency features

AI image models gain creative edge by amplifying low-frequency features

June 20, 2025
All-topographic neural networks more closely mimic the human visual system

All-topographic neural networks more closely mimic the human visual system

June 20, 2025
In an era where empathy feels unfamiliar, AI now translates emotions

In an era where empathy feels unfamiliar, AI now translates emotions

June 19, 2025

Recent News

Apple read your mean tweets about Liquid Glass and Finder

Apple read your mean tweets about Liquid Glass and Finder

June 23, 2025
Tesla’s first robotaxi rides are already running into a few bumps

Tesla’s first robotaxi rides are already running into a few bumps

June 23, 2025

Survey: 82% of US wealthy investors favor advisers who can deliver informed crypto strategies

June 23, 2025
New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

June 23, 2025

TOP News

  • The best Android phones for 2023

    The best Android phones for 2023

    573 shares
    Share 229 Tweet 143
  • Shiba Inu Price Prediction Today

    618 shares
    Share 247 Tweet 155
  • Google’s new AI Core update for Pixel 8 Pro will boost its powers and performance

    559 shares
    Share 224 Tweet 140
  • North Korean Hackers Pose as South Korean Government Officials to Steal Crypto

    596 shares
    Share 238 Tweet 149
  • My go-to robot vacuum and mop is still $455 off following Cyber Monday

    549 shares
    Share 220 Tweet 137
  • About Us
  • Contact Us
  • Privacy Policy
  • Terms of Use
Advertising: digestmediaholding@gmail.com

Disclaimer: Information found on cryptoreportclub.com is those of writers quoted. It does not represent the opinions of cryptoreportclub.com on whether to sell, buy or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk.
cryptoreportclub.com covers fintech, blockchain and Bitcoin bringing you the latest crypto news and analyses on the future of money.

© 2023-2025 Cryptoreportclub. All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Crypto news
  • AI
  • Technologies

Disclaimer: Information found on cryptoreportclub.com is those of writers quoted. It does not represent the opinions of cryptoreportclub.com on whether to sell, buy or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk.
cryptoreportclub.com covers fintech, blockchain and Bitcoin bringing you the latest crypto news and analyses on the future of money.

© 2023-2025 Cryptoreportclub. All Rights Reserved