Skip to main content

Klein on the climate crisis and AIs role

 


Naomi Klein is the bestselling author of No Logo and The Shock Doctrine and Professor of Climate Justice and Co-director of the Centre for Climate Justice at the University of British Columbia. In a recent Guardian article, 'AI machines aren’t ‘hallucinating’. But their makers are' Klein sets out an argument exploding the tech hypesters myth peddling, covering climate, governance, trust in tech corporations, and AIs promise to save us from drudgery. 

Last year, the top tech companies spent a record $70m to lobby Washington – more than the oil and gas sector – and that sum, Bloomberg News notes, is on top of the millions spent “on their wide array of trade groups, non-profits and thinktanks. -Klein

The context of the tech companies lobbying power, together with the familiarity all policy makers and legislators will have with the brand names involved - using some these corporate products on a daily basis - is vital to frame the likely effects of the lobbying efforts. 

The summary of Kleins argument disputing the claim AI will assist in addressing climate change is as follows:

  • AI boosters are quick to acknowledge the fallibility of their machines, but they also promote the idea that these machines are on the cusp of sparking an evolutionary leap for humanity.
  • This is a dangerous hallucination, as it ignores the fact that AI is still in its early stages of development and is heavily influenced by the biases of its creators.
  • In order for AI to be truly beneficial to humanity, it needs to be developed and deployed in a way that is aligned with our values and goals.
  • Unfortunately, the current economic and social order is built on the extraction of wealth and profit, which is likely to lead to the use of AI for further dispossession and despoilation.
  • Klein argues that the utopian hallucinations about AI are being used to cover up the largest and most consequential theft in human history.
  • The wealthy tech companies are unilaterally seizing the sum total of human knowledge that exists in digital, scrapable form and walling it off inside proprietary products.
  • This is illegal, as it violates the copyrights of the artists and creators whose work was used to train these AI models.
  • A movement of artists is challenging this theft, and they are calling for the tech companies to pay artists for their work.
  • AI is often touted as a solution to the climate crisis, but this is a false promise.
  • Klein points out that we already know what we need to do to address climate change: reduce emissions, leave carbon in the ground, and tackle overconsumption.
  • Klein argues that the reason we have not taken these steps is not because we do not know what to do, but because doing so would challenge the current economic system, which is based on the extraction of resources and the consumption of goods.
  • Klein concludes that AI is not a solution to the climate crisis, but rather a symptom of it.
It is good to gradually see critical responses that don't just argue about GPT from a technical standpoint, but rather from a context of this late state capitalism we have floundered into, the pressing issues we know that must be solved and the 'realities' and 'hallucinations' that are projected upon us that delay action.

Comments

Popular posts from this blog

The AI Dilemma and "Gollem-Class" AIs

From the Center for Humane Technology Tristan Harris and Aza Raskin discuss how existing A.I. capabilities already pose catastrophic risks to a functional society, how A.I. companies are caught in a race to deploy as quickly as possible without adequate safety measures, and what it would mean to upgrade our institutions to a post-A.I. world. This presentation is from a private gathering in San Francisco on March 9th with leading technologists and decision-makers with the ability to influence the future of large-language model A.I.s. This presentation was given before the launch of GPT-4. One of the more astute critics of the tech industry, Tristan Harris, who has recently given stark evidence to Congress. It is worth watching both of these videos, as the Congress address gives a context of PR industry and it's regular abuses. "If we understand the mechanisms and motives of the group mind, it is now possible to control and regiment the masses according to our will without their...

CRM and AI?

Artificial intelligence (AI) can be used in a CRM system to enhance customer service, sales performance, and marketing strategies. Here are some examples of how AI can be applied in a CRM: - AI can enable natural language processing and voice input, such as Siri or Alexa, to allow a CRM system to answer customer queries, solve their problems, and even identify new opportunities for the sales team. Some AI-driven CRM systems can even multitask to handle all these functions and more. - AI can help with sales forecasting by analysing historical data, customer behaviour, and market trends. This can help the sales team make more accurate predictions for future sales figures and determine a success metric. - AI can assist with lead management by automating the process of qualifying and nurturing prospects. It can use chatbots and email bots to understand leads' needs and inform the sales team to improve their performance. With insights gained from these bots, companies can optimise their...

A Network Analysis Tool to help identify structural gaps

  InfraNodus is a web-based open source tool and method for generating insight from any text or discourse using text network analysis. The byline on the website states, 'Get an overview of any discourse, reveal the blind spots, enhance your perspective.' which, whilst accurate does little to summarise the potential of such a tool. Watching the introduction helps. Its capabilities include representing any text as a network and identifying the most influential words in a discourse based on the terms' co-occurrence, providing text network visualization and analysis live as new data is added, offering discourse structure analysis to measure the level of bias in discourse and identify structural gaps in discourse, and being available via an API to be used in conjunction with other text mining and analysis software. The white paper, ' Generating Insight Using Text Network Analysis ' concludes:  'The tool is currently used by researchers, marketing professionals, stude...