# TAILOR Conference Lisbon '24
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## Notes from Notebook
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## OCR Notes - processed with [ChatGPT](ChatGPT.md)
- Wendy Ju
- Robots should have good manners.
- Engagement.
- People treat robots like children.
- Carles Sierra
- People are nervous about AI.
- Psychopaths
- How is this related to AI?
- Adapt technology as a community.
- Sustainable collective.
- Governing the commons.
- L'Horta watering communities.
- Groups talking about technology.
- Ostrom's criteria.
- Community arms.
- "I must be..."
- Valve
- Goals
- Tailor thing
- Turns out Isabelle is part of this, but they ran out of funds so she couldn't come. XD
- Logistics
- Breakout Room 5
- "Why!"
- "I think it's cool to assign teams & make people uncomfortable."
- "I am a leader!! (ugh.)"
- Short presentation
- Neuro
- Uncertainty in humans:
- State of mind
- Semantic
- Uncertainty in life is short.
- Reasoning shortcuts in NS.
- Deterministic vs probabilistic
- Concept rehearsal
- Feeling weird as a fellow lab member.
- Internal vs External symbolic neuro
- Symbolic AI
- Pointing → Saliency
- Wording → RLHF
- Approximate retrieval (VSRAGIL)
- He just destroyed LIM prompts.
- Using the internet as training
- LIMs → Good at common sense.
- Approximate omniscience
- LIMs are masters of style.
- She hasn't stopped for one second.
- KL also now available.
- WTF did she actually use, and how is she keeping track of outages?
- Glioblastoma → Dead.
- Low data
- Genetic expressions
- Multimodal classification
- Patching, how?
- Pankaj Pandey → FNFIELD
- Started in Norway
- Adaptive, green, trustworthy
- Dislike (hate) stable diffusion
- Explainable Malware Detection
- Ontologies as explanation?
- Concept learning, but what model?
- They published a lot though.
- Trustworthy robotic teammates
- Humans seem to trust robots less initially but more over time compared to other humans.
- What forms the expectation? Set low expectations.
- Collaborative Human-AI
- Trusting black-box models
- Started with the theory of mind, now game theory
- AI is the new steam engine?
- Transpilation 2. (Quantum)
- Federalized NSGA-II
- Soft unification
- Class distribution bias
- Spectrogram → Original biological component.
- Perturbation → Robustness distribution.
- What kind of perturbations?
- How distribution?
- Safety requirements.
- Operation
- Standardization & legal means.
- Fundamental research → End user?
- B2B vs B2C
- Companies don’t care about research.
- Academia doesn’t care about the product.
- AI: No time to wait for results, collaborative research.
- Transfer Lab = Industry + Academia.
- AI combines the chain, but customers own the data, not us.
- Trust the platform.
- European data space.
- Business model → Safety
- Standardization & funding
- B2B
- People are skeptical of their own abilities.
- The more you know, the less you trust.
- Replica AI → Social AI?
- Tailor individual collaboration.
- Certification for AI?
- Politics
- Methods for trusted AI?
- Evaluation tools.
- Neural explicit models.
- Valves → Code: Schwartz theory
- Goals are proxies of values.
- Optimize for fairness.
- Privacy vs Trust.
- Choices
- Differences in values across cultures.