use your life force well probably no one ever dies wishing they'd spent more time being angry on the internet, or obsessing about the scandal of the hour
ETHICS
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Legal Compliance Burden Shift to Engineers Criticized
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> I have heard another leader in the Legal department say that because of the tight SLA's (of two weeks?!) between product inception > launch, Legal will "have to shift the burden to engineers" to self-certify compliance with FTC requirements and other laws. Just no.
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Larger AI Models Show Increased Bias Demonstration
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It looks like the bigger the model, the harder it gets for it not to demonstrate biases. Very cool stuff from @mathemakitten
! https://
huggingface.co/blog/zero-shot
-eval-on-the-hub
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Top 5 Technology Challenges Companies Must Address 2023
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The Top 5 Technology Challenges In 2023 When it comes to #technology, rapidly #changing conditions pose unprecedented #challenges that must not be ignored. Learn the top 5 tech challenges companies need to address to #survive and #thrive in #2023. https://
forbes.com/sites/bernardm
arr/2022/11/10/the-top-5-technology-challenges-in-2023/
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Patent Trolls and Weakening Features in Software Products
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“This happens all the time in software. You don't hear about it because nobody can talk about it. Everyone loses. Blame the patent trolls.” Still, weakening features from an already purchased product should be illegal. https://
reddit.com/r/airpods/comm
ents/yfc5xw/comment/iu5fjip/?context=1
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Differential Privacy in 2020 US Census: Key Concerns
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For those who haven't kept up, Aloni Cohen (
@aloni_bologna
) summarizes the "kerfuffle" on differential privacy's use in the 2020 US Census. -
Brad Smith on Going Carbon-Negative with AI Technology
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Brad Smith explains why the world needs to go carbon-negative — and how to get there https://
buff.ly/3Tz7Mjn
#cop27 @microsoft #ai #ArtificialIntelligence #MachineLearning #DeepLearning -
AI Impersonation Technology Creates Scam Vulnerability Risk
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So they're selling the ability to imitate anyone you like for a short time for $8 a go? Crypto scammers are going to love this so much, total bargain!
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Synthetic Data Models: Privacy and Accuracy Trade-offs
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Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data. Provided the quality of the synthetic data quality is good!
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Data Protection: Ethics, Privacy and Security for Trust
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Introducing the latest chapter of our Data Differentiator guide – data protection: https://
ibm.co/3A11h1G Implement the core pillars of data protection – ethics, privacy and security – to foster trust across your data systems.
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#IBM #dataprivacy #datagovernance