Take "Humpty Dumpty sat on a... Even this snippet of a nursery rhyme reveals how much languages can differ from one another. In English, we have to mark the verb for tense; in this case, we say "sat" rather than "sit." In Indonesian you need not (in fact, you can't) change the verb to mark tense.
In Russian, you would have to mark tense and also gender, changing the verb if Mrs. Dumpty did the sitting. You would also have to decide if the sitting event was completed or not. If our ovoid hero sat on the wall for the entire time he was meant to, it would be a different form of the verb than if, say, he had a great fall.
In Turkish, you would have to include in the verb how you acquired this information. For example, if you saw the chubby fellow on the wall with your own eyes, you'd use one form of the verb, but if you had simply read or heard about it, you'd use a different form.
Do English, Indonesian, Russian and Turkish speakers end up attending to, understanding, and remembering their experiences differently simply because they speak different languages?"
The answer is yes.
In a world of sharing ideas across languages, understanding how and why languages make us think, behave and reason differently from each other is increasingly important.
"All this new research shows us that the languages we speak not only reflect or express our thoughts, but also shape the very thoughts we wish to express. The structures that exist in our languages profoundly shape how we construct reality, and help make us as smart and sophisticated as we are."
« Watch Lera Boroditsky's talk. Lera Boroditsky is an associate professor of cognitive science at University of California San Diego and editor in chief of Frontiers in Cultural Psychology. She previously served on the faculty at MIT and at Stanford. Her research is on the relationships between mind, world and language (or how humans get so smart).
She once used the Indonesian exclusive "we" correctly before breakfast and was proud of herself about it all day. »
I'll add clarifications regarding some of the topics to this thread. 👇
Regarding Monoculture. Today, there are nearly 7,000 languages and dialects in the world. Only 7% are reflected in published online material. 98% of the internet’s web pages are published in just 12 languages, and more than half of them are in English. When sourcing the entire Internet, that is still a small part of humanity.
76% of the cyber population lives in Africa, Asia, the Middle East, Latin America and the Caribbean, most of the online content comes from elsewhere. Take Wikipedia, for example, where more than 80% of articles come from Europe and North America.
Now consider what content most AI tools are trained on.
Through the lens of a small subset of human experience and circumstance it is difficult to envision and foresee the multitudes of perspectives and fates that one new creation may influence. The homogenity of those who have been provided the capacity to make and create in the digital space means that it is primarily their mirror-images who benefit – with little thought for the wellbeing of those not visible inside the reflection.
When power is with a few, their own needs and concerns will naturally be top of mind and prioritized. The more their needs are prioritized, the more power they gain. Three million AI engineers is 0.0004% of the world's population.
The dominant actors in the AI space right now are primarily US-based. And the computing power required to build and maintain many of these tools is huge, ensuring that the power of influence will continue to rest with a few big tech actors.
The more complex the algorithms become, the harder they are to understand. As more people are involved, time passes, integrations with other systems are made and documentation is faulty, the further they deviate from human understanding. Many companies will hide proprietary code and evade scrutiny, sometimes themselves losing understanding of the full picture of how the code works. Decoding and understanding how decisions are made will be open to infinitely fewer beings.
And it doesn't stop there. This also affects autonomy. By obscuring decision-making processes (how, when, why decisions are made, what options are available and what personal data is shared) it is increasingly difficult for individuals to make properly informed choices in their own best interest.
One inherent property of AI is its ability to act as an accelerator of other harms. By being trained on large amounts of data (often unsupervised) – that inevitably contains biases, abandoned values and prejudiced commentary – these will be reproduced in any output. It is likely that this will even happen unnoticeably (especially when not actively monitored) since many biases are subtle and embedded in common language. And at other times it will happen quite clearly, with bots spewing toxic, misogynistic and racist content.
Because of systemic issues and the fact that bias becomes embedded in these tools, these biases will have dire consequences for people who are already disempowered. Scoring systems are often used by automated decision-making tools and these scores can for example affect job opportunities, welfare/housing eligibility and judicial outcomes.
In order for us to avoid seeing traumatitizing content when using many of these tools (such as physical violence, self-harm, child abuse, killings and torture) this content needs to be filtered out. In order for it to be filtered out, someone has to watch it. As it stands, the workers who perform this filtering are often exploited and suffer PTSD without adequate care for their wellbeing. Many of them have no idea what they are getting themselves into when they start the job.
There are several ways personal data makes its way into the AI tools. First, since the tools are often trained on data available online and in an unsupervised manner, personal data will actually make its way into the workings of the tools themselves. Data may have been inadvertently published online or may have been published for a specific purpose, rarely one that supports feeding an AI system and its plethora of outputs. Second, personal data is actually entered into the tools by everyday users through negligent or inconsiderate use – data that at times is also stored and used by the tools. Third, when many data points from many different sources are linked together in one tool they can reveal details of an individuals’ life that any single piece of information could not.
While some may argue that water can be reused, it is often pulled from water supplies in times of significant heatwaves, when residents are in need of it as well, and supplies diminsh faster.
In July of 2022, Microsoft pumped in about 11.5 million gallons of water to its cluster of Iowa data centers, according to the West Des Moines Water Works. That’s around 6% of all the water used in the district, which also supplies drinking water to residents.
Meanwhile, the energy required is of course not recycled – and it’s to be expected that energy use is growing as well. The companies behind the tools are just not disclosing how much their AI investments are costing us when it comes to their carbon footprint.
”In its latest environmental report, Microsoft disclosed that its global water consumption spiked 34% from 2021 to 2022 (to nearly 1.7 billion gallons, or more than 2,500 Olympic-sized swimming pools), a sharp increase compared to previous years that outside researchers tie to its AI research.”
Researchers found data is being gathered by sensors, microphones, cameras, and the phones and devices drivers connect to their cars, as well as by car apps, company websites, dealerships, and vehicle telematics.
Brands can then share or sell this data to third parties. Car brands can also take much of this data and use it to develop inferences about a driver’s intelligence, abilities, characteristics, preferences, and more.”
If a person sends a bot (will be marketed as an ”AI assistant”) to participate in their place at an online meeting you are hosting, your safest option is to kick it out. That bot will be recording everything and using it for things that meeting participants have not consented to.
Boycotts have been announced by a several party leaders in Sweden. The only one announcing that she will take part is Ebba Busch, Leader of the Christian Democrats and Minister for Energy, Business and Industry. No final decisions have been communicated from Magdalena Andersson (Social Democrats), or prime minister Ulf Kristersson (Moderate party). Johan Pehrson (Liberal Party) has – on X – vaguely suggested he may not attend.
Embed this noticePer Axbom (axbom@axbom.me)'s status on Friday, 23-Jun-2023 03:36:53 JST
Per AxbomA common argument I come across when talking about ethics in AI is that it's just a tool, and like any tool it can be used for good or for evil. One familiar declaration is this one: "It's really no different from a hammer". I was compelled to make a poster to address these claims. Steal it, share it, print it and use it where you see fit.
If a podcast doesn't disclose its RSS feed, is it really a podcast, or just an audio show that happens to be published on a specific platform?
In my mind podcasting is about the listener experience and mode of consumption as much as the production experience. If I can't listen to it like I do 99% of all podcasts, then for all intents and purposes it is not a podcast.
I know most people don't think about RSS feeds at all when listening but I had to mention it here as it's the mode of distribution that makes everything I just mentioned possible, with regards to freedom of listening where I want. Not where someone else wants.
”By donning a second-hand hat, a 74-year-old man is about to become monarch of a small island kingdom”
As expected, the best reporting on today’s coronation comes from @thecontinent
While many mentioned atrocities are well-known, this part of erased African history is rarely talked about:
”While England has records of who lived in what village in 1068, its empire was quick to destroy the histories of those it colonised. These could then be overwritten with Protestant orthodoxy and white exceptionalism, banning things like queer love, once part of Africas cultural fabric.”
Pending follow request? It’s a bug! Read this: https://axbom.com/migfail/Teacher, coach, speaker and designer in the space of #DigitalEthics, #InclusiveDesign and #Accessibility. Long history of tinkering with computers and making stuff on the Internet.Writer, blogger and author working to mitigate online harm. Maker of visual explainers. Communication theorist by education, #HumanRights advocate by dedication.Born in Liberia of Swedish parents.Country-living, book-loving middle-aged family man with adult kids and a French bulldog. Love to untangle digital messes. Preferably during long walks in the forest or meditative motorcycle rides.Co-host of @uxpodcast@mastodon.social. Try to get paid for my work but I put most of it out there for free ?Social media is fickle and unpredictable. To make sure you continue to get updates from me, I recommend signing up for my free newsletter below.This is my 4th Fediverse account. My posts are licensed under Creative Commons Attribution-NonComm