4 ms·

> AI use is prohibited for any use for any purpose in any exam situation. Read literally this bans the use of hearing aids in an oral examination. All the dev

by retrac 2mo ago

> AI use is prohibited for any use for any purpose in any exam situation. Read literally this bans the use of hearing aids in an oral examination. All the devices on the market today use noise reduction based on neural networks or transformers. Isn't that AI? (The manufacturers' ad copy certainly insists so.) Presumably not what they intended but "AI" is not defined in the document.

nerdsniper 2mo ago
ADA accommodations regularly change what can and cannot be used during an exam. This is not the “gotcha” you think it is. Any lawyer making an argument along these lines probably used AI to pass the bar. For example, a blind person could still get an accommodation to use a AI vision tool which reads the exam to them. Or the school could give them a human who reads the exam to them. Either would meet the ADA accommodation requirements, and neither would actually be blocked by UC Berkeley’s new “no AI” rule because the ADA supersedes this “no AI” rule.
a2ff6eeb0 2mo ago
Why would you consider an amplifier AI?
- nerdsniper 2mo ago
  These days there’s often a tiny neural net inside good hearing aids which decides which frequencies to amplify by how much. That way they can dynamically detect and remove background noise and isolate actual speech. Among many other features.
  - a2ff6eeb0 2mo ago
    like, a band pass filter?
  - stonogo 2mo ago
    Do you have any example devices?
    - retrac 2mo ago
      All of the major hearing aid manufacturers incorporate DNNs or transformers into their chipsets. The manufacturers advertise it as "AI" and that's probably a fair description. It's a kind of filter, implemented with neural networks, sound-to-sound translation. For example Oticon's white paper on their AI based noise reduction system is here https://assets-je.cas.dgs.com/-/media/oticon/main/pdf/australia/24point2/new-research-24-2/61274187auotwp4dsensortechnologyanddnn20.pdf https://assets-je.cas.dgs.com/-/media/oticon/main/pdf/austra... > > Our goal was to train the DNN on sound scenes so that it could solve the task of balancing sound sources by preserving cues and attenuating noise. The large amount of data needed for this training was recorded in different sound scenes across a wide array of listening environments representing sound scenes that listeners would typically be exposed to in their everyday lives. We used a specialised spherical microphone, capable of capturing 360 degrees of sounds to provide the DNN with a spatially accurate and detailed sound scene and to train it on the full sound scene. They claim it improves signal to noise over traditional DSP hearing aids.
      - a2ff6eeb0 2mo ago
        There's a pretty wide difference between what we call AI and what salespeople call AI. Technically, a linear regression can be modelled as a single node neural network, which makes it AI. It'd be pretty typical of sales to try to make hearing aids sound like they're actually capable of thought comparable to people. AI is machines that can produce results approaching thought, and I don't believe these hearing aids are going to be replacing any brains any time soon. Claude, on the other hand... It's already replaced a large chunk of people at their jobs.
        retrac 2mo ago
        I consider most deep learning and statistical learning systems to be AI. But I also consider traditional symbolic AI to be AI. You only underline my original point: no one can define AI.
        a2ff6eeb0 2mo ago

by retrac 2mo ago

nerdsniper 2mo ago

ADA accommodations regularly change what can and cannot be used during an exam. This is not the “gotcha” you think it is. Any lawyer making an argument along these lines probably used AI to pass the bar. For example, a blind person could still get an accommodation to use a AI vision tool which reads the exam to them. Or the school could give them a human who reads the exam to them. Either would meet the ADA accommodation requirements, and neither would actually be blocked by UC Berkeley’s new “no AI” rule because the ADA supersedes this “no AI” rule.

a2ff6eeb0 2mo ago

Why would you consider an amplifier AI?

nerdsniper 2mo ago
These days there’s often a tiny neural net inside good hearing aids which decides which frequencies to amplify by how much. That way they can dynamically detect and remove background noise and isolate actual speech. Among many other features.
- a2ff6eeb0 2mo ago
  like, a band pass filter?
- stonogo 2mo ago
  Do you have any example devices?
  - retrac 2mo ago
    All of the major hearing aid manufacturers incorporate DNNs or transformers into their chipsets. The manufacturers advertise it as "AI" and that's probably a fair description. It's a kind of filter, implemented with neural networks, sound-to-sound translation. For example Oticon's white paper on their AI based noise reduction system is here https://assets-je.cas.dgs.com/-/media/oticon/main/pdf/australia/24point2/new-research-24-2/61274187auotwp4dsensortechnologyanddnn20.pdf https://assets-je.cas.dgs.com/-/media/oticon/main/pdf/austra... > > Our goal was to train the DNN on sound scenes so that it could solve the task of balancing sound sources by preserving cues and attenuating noise. The large amount of data needed for this training was recorded in different sound scenes across a wide array of listening environments representing sound scenes that listeners would typically be exposed to in their everyday lives. We used a specialised spherical microphone, capable of capturing 360 degrees of sounds to provide the DNN with a spatially accurate and detailed sound scene and to train it on the full sound scene. They claim it improves signal to noise over traditional DSP hearing aids.
    - a2ff6eeb0 2mo ago
      There's a pretty wide difference between what we call AI and what salespeople call AI. Technically, a linear regression can be modelled as a single node neural network, which makes it AI. It'd be pretty typical of sales to try to make hearing aids sound like they're actually capable of thought comparable to people. AI is machines that can produce results approaching thought, and I don't believe these hearing aids are going to be replacing any brains any time soon. Claude, on the other hand... It's already replaced a large chunk of people at their jobs.
      - retrac 2mo ago
        I consider most deep learning and statistical learning systems to be AI. But I also consider traditional symbolic AI to be AI. You only underline my original point: no one can define AI.
        a2ff6eeb0 2mo ago