Psychologist, Technologist. How to #StayHuman in the Age of #DigitalEverything? Previously: @Thoughtworks (#Product #ResponsibleTech)

Berlin
Joined June 2009
Alexander Steinhart retweeted
🚨Last week was 1.9C hotter than pre-industrial temperatures, the biggest anomaly ever recorded carbonbrief.org/debriefed-29…
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Alexander Steinhart retweeted
Digitale Verantwortung der Unternehmen: Matthias Narr von der Ethos-Stiftung erklärt, warum das aus Investorensicht relevant ist. ▪️Haftung bei KI-Einsatz ▪️GDPR / AI Act ▪️ Soziale Auswirkungen digitaler Technik: Verteilung von Produktivitätsgewinnen, Mental Health #shift2023
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Alexander Steinhart retweeted
Matthias Narr von Ethos erläutert die sieben Erwartungen an Unternehmen im Zusammenhang mit Digitaler Verantwortung an der #shift2023
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"...the scariest thing about generative AI is that it has revealed our utter lack of guardrails against harmful technology, even when concerns span the breadth of human experience" writes @jbakcoleman in @techpolicypress techpolicy.press/what-genera…
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Alexander Steinhart retweeted
People are testing large language models (LLMs) on their "cognitive" abilities - theory of mind, causality, syllogistic reasoning, etc. Many (most?) of these evaluations are deeply flawed. To evaluate LLMs effectively, we need some principles from experimental psychology.🧵
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Since we've been looking for more things to do, @emilymbender @mmitchell_ai @mcmillan_majora and I wrote a statement about the horrible "letter" on the AI apocalypse, the very first citation of which, was our #StochasticParrots paper. dair-institute.org/blog/lett…
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Kudos to these remarkable women @timnitGebru @alexhanna for taking a courageous step and leading a proactive approach towards better #AI 👏👏👏 #AIEthics #ResponsibleAI #WomeninAIEthics spectrum.ieee.org/timnit-geb…
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Alexander Steinhart retweeted
I found the recent @nytimes opinion piece on AI by @harari_yuval @tristanharris @aza very interesting and I agree with some of the overall thrust and points but object to MANY of the important details. So, time for a 🧵 detailing my critiques: nytimes.com/2023/03/24/opini…
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Crucial thinking on AI and knowledge systems from @peternixey: I'm in the top 2% of users on StackOverflow. Things I've written there have been viewed by over 1.7M people. And it's unlikely I'll ever write anything there again. Which is potentially a much bigger problem than it seems. Because it may be the canary in the mine of our collective knowledge. The canary that signals a change in the airflow of knowledge: from human-human via machine, to human-machine only. Don’t pass human, don’t collect 200 virtual internet points along the way. StackOverflow is *the* repository for programming Q&A. It has 100M users & saves man-years of time and wig-factories-worth of grey hair every single day. It is driven by people like me who ask questions that other developers come and answer. Or vice-versa. Over the past 10 years I've asked 217 questions and answered 77. Those questions have been read by millions of developers and had tens of millions of views. But since GPT4 it looks less and less likely that any of that will happen - at least for me. Which will be bad for StackOverflow. But if I'm representative of other knowledge-workers then it presents a larger and more alarming problem for us as humans. What happens when we stop pooling our knowledge with each other and instead pour it straight into The Machine? Where will our libraries be? How can we be anything other than dependent on The Machine? What content do we even feed the next version of The Machine to train on? When it comes time to train GPTx it risks drinking from a dry riverbed. Because programmers won't be asking many questions on StackOverflow. GPT4 will have answered them in private. And while GPT4 was trained on all of the questions asked before 2021 what will GPT6 train on? This raises a deeper and more profound question. If this pattern replicates elsewhere and the direction of our collective knowledge alters from outward to humanity to inward into the machine then we are dependent on it in a way that supercedes all of our prior machine-dependencies. Whether or not it "wants" to take over, the change in the nature of where information goes will mean that it takes over by default. Like a fast-growing Covid variant, AI will become the dominant source of knowledge simply by virtue of growth. If we take the isolated example of StackOverflow, that collective pool of human knowledge that used to belong to us - will be reduced down to a mere weighting inside the transformer. Or, perhaps even more alarmingly, if we trust that the current GPT doesn't learn from its inputs - it might be lost altogether. Because if it doesn't remember what we talk about and we don't share it then where does the knowledge even go? We already have an irreversible dependency on machines to store our knowledge. But at least we control it. We can extract it, duplicate it - go and store it in a vault in the Arctic (as Github has done). So what happens next? I don't know, I only have questions. None of which you'll find on StackOverflow. - Peter Nixey
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Tech firms prioritizing ethics and safety to bypass regulation isn't bad. It indicates that they have self-serving motives for doing the right thing. Getting rid of built-in ethics programs is a red flag because the motives have changed. 🚩
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Alexander Steinhart retweeted
Check out @quanders thread with these 7 principles for building products that prioritize society's well-being. Learn how to use responsible tech as a facilitator in your sessions, meetings, and workshops. #responsibletech #productdesign #socialimpact
🌍🛠️ 7 Principles for Building Products That Are Better for Society – Learn how to use Responsible tech as a facilitator in sessions, a meetings and workshops. A thread 1/13 🧵 #ResponsibleTech #product #development
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It will be 20+ years before govt and charities make good use of the internet as it existed in c.2010. Which makes me think we need to think differently about how we diffuse the next generation of practices/technologies.
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Alexander Steinhart retweeted
In this article, Alexander Steinhart and Paulo Caroli discuss seven facilitation principles for building responsible products to make a positive impact in the world. mtp.io/3kxEJBi
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Alexander Steinhart retweeted
Great piece by @ReidBlackman on how #Microsoft's "frantic" (Nadella's choice of words) release of #AI powered #Bing violates its #AIethics principles. Very disappointing from a company where a commitment to AI ethics seemed to be part of the culture. 1/3 nytimes.com/2023/02/23/opini…
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