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Ronaldino changed the name and description of the group
19 hours agoThe Uno Data Science Hub (University Group) 19 hours ago -
Discussing the long-term neurobiology of empathy in the digital age. Are we losing the ‘mirror neuron’ effect through screens
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This is a massive issue in international diplomacy. If negotiators don’t ‘feel’ each other, conflicts escalate.🤦♀️
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I see it in community management every day. People say things online they would never say to a face.
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Is it a permanent change in the brain, or just a temporary state? We need more longitudinal studies from the Oxford labs.
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We need to teach ‘Digital Empathy’ as part of the core curriculum in schools now.
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Quantum computers are getting closer to breaking standard encryption. Are you all ready for post-quantum cryptography?💻
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The liability for firms that don’t upgrade is going to be massive. It’s a legal ticking time bomb.🧐
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If my robots get hacked by a quantum-level threat, they aren’t just ‘data’—they are physical risks. Security is paramount.🤖
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We need an international treaty on quantum warfare before it’s too late. Cyber-diplomacy is failing here.
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I’m seeing a huge spike in patients using wearables to track heart rate variability. How are you guys using tech to monitor your ‘recovery’?⌚
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I use it to help patients see the physical impact of stress. It’s a great tool for biofeedback in therapy.
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Longevity science is moving toward constant glucose monitoring. We’re moving from ‘sick care’ to ‘preventative care’
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I’m designing exoskeleton supports that use this data to prevent injury in manual labor jobs.
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We just optimized our supply chain using blockchain, increasing efficiency by 20%. How are you all tackling operational friction this year?😀
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Impressive, Ronaldino. Efficient supply chains are making firms much more attractive for M&A right now.
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I find that better internal communication tools reduce the ‘human friction’ that stalls those operations.
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Just make sure those blockchain contracts are ironclad. I’ve seen too many ‘smart contracts’ lead to litigation.🧐
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Which should be our primary project focus?
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I kept the poll options concise! I’m curious to see if we lean toward pure security or if the data’s utility still wins out.
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Voted for Privacy First. In clinical trials, accuracy means nothing if we lose patient trust through a data leak.
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I went with Hybrid. Legally, ‘Reasonable Security’ is the standard, so we need that balance to stay compliant and functional.
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Revisiting Professor Ng’s concepts on ethical AI. Does anyone here have thoughts on how we can implement ‘Privacy by Design’ in our senior projects?
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In biotech, we use ‘differential privacy’ to share genomic data without exposing the individual. Uno’s lab is leading this🧐
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The legal framework for data privacy is shifting fast. If you’re building at Uno, you need to look at the new California laws.
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I’d suggest looking into federated learning. Keep the data on the device, move the model.
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Just published a paper on reducing algorithmic bias in hiring tools. How are you all balancing efficiency with ethics in your current projects?🤓
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Fascinating, Ronaldino! In psychology, we see how bias affects mental health. We need these ethical guardrails.
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From a finance perspective, ethical AI is a huge ‘sell’ for ESG investors right now. Great timing.😅😂🤣
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I’m looking at it from security—biased models are often easier to ‘poison.’ Ethics is safety!
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In robotics, we struggle with this in ‘human-robot’ interaction. Empathy must be coded in.🤖
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Does this apply to energy grids? We use AI to predict load, and it often ignores rural areas.
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