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Indonesia AI Community Facebook group. 6K members.

A new resource from Hugging Face: The LLM Evaluation guidebook outlines methods and workflows for evaluating the performance of LLM based applications.

Let’s discuss, innovate, and co-create a healthcare system where no one feels left behind. Curious to find out more? As part of my Master's in Communication at the University of Gothenburg, I, Alexandra Radu and my dear colleague Malwina Wasilewska had the incredible opportunity to dive deep into the world of AI-driven chatbots and their role in transforming the healthcare experience. Our research, conducted within Västra Götalandsregionen, explores how chatbots like LIV can bridge the gap between patients and healthcare services, ensuring seamless communication, safeguarding data privacy, and enhancing trust. We are excited to share this work with AI Sweden and contribute to the conversation about how AI can shape the future of healthcare.

2024-11-18 08:31 Weblink News Shahid Jabbar

Mabel AI's inclusive interpretation technology highlighted in MIT Technology Review! 🚀 🚀 🚀 

We are extremely proud to feature -- as the only company -- in a comprehensive overview on efforts to improve the diversity of AI voices. Moreover, we are honored to support the Mozilla Common Voice project, as we share the same mission of inclusive speech AI. 🌍 🌎 🌏 

At Mabel, we develop our own AI models without relying on any third-party APIs -- a prerequisite in healthcare and other public services, where confidentiality is essential. This also means that we can deploy our solution fully on-premise and even on-device. 🔒 

For that reason, representative, ethically sourced voice data is a critical resource for us, as well as for other AI-native, social impact companies. We are thrilled to see this important issue, and our own efforts, highlighted in one of the world’s leading technology magazines! 🌟 ✨ 💫

Ett första utkast av en Code of Practice (uppförandekod) som syftar till att stödja implementeringen av AI-förordningen (AI Act), särskilt för leverantörer av generella AI-modeller och sådana med systemrisker. 

Vad är syftet?

  1. Stöd för efterlevnad: Koden hjälper leverantörer att förstå och visa hur deras verksamhet följer AI-förordningen.
  2. Riskhantering: Särskilt fokus läggs på att identifiera och mildra systemiska risker som kan uppstå genom användning av generella AI-modeller.
  3. Främja transparens och säkerhet: Genom åtgärder som dokumentation och säkerhetsramverk ska ekosystemet för AI bli mer robust.

Vilka omfattas?

  • Leverantörer av generella AI-modeller (Generative AI, språkmodeller som ChatGPT, osv.).
  • Specifikt de som utvecklar modeller med system risker (t.ex. manipulation, diskriminering eller säkerhetsproblem).

Struktur och ansvar

Koden organiseras genom fyra arbetsgrupper, var och en fokuserad på specifika aspekter:

  1. Transparens och upphovsrättsrelaterade regler: Hur AI-system ska dokumenteras och hur upphovsrätt skyddas.
  2. Riskidentifiering och bedömning av system risker: Att identifiera och analysera potentiella risker.
  3. Tekniska lösningar för att mitigera risker: Säkerhetsåtgärder och tekniska verktyg.
  4. Styrning och ledning: Hur företag ska integrera riskhantering på högsta ledningsnivå.

Sammanfattat av: ChatGPT med korrigering av mig.

Generative AI, particularly ChatGPT, creates new managerial concerns. This article addresses a crucial managerial challenge: While employees are including the tool as their private knowledge assistant in many aspects of their daily work, it is difficult for managers to see and understand the impact within their organization. There is more and more literature on what ChatGPT means for business, but we cannot say much as long as we are uninformed about its actual use. So, getting an insider’s perspective is needed to think about the consequences for organizations. The article is grounded in a qualitative study of employees’ experiences of interacting with ChatGPT among 50 early ChatGPT adopters. First, we show how employee-ChatGPT relations develop from private, experimental use into an integral part of knowledge work. Second, we identify six affordances: searching for information, brainstorming ideas, structuring content, writing a first draft, embellishing text, and proofing work. Further, we highlight three looming side effects of ChatGPT use that threaten knowledge ties, the quality of knowledge in organizations, and how work roles are configured. Accordingly, this article offers managers guidance in managing a ChatGPT-empowered workforce in a way that aims to mitigate these side effects while harnessing opportunities.

En federal domstol i USA har avvisat en stämningsansökan där nyhetssajterna Raw Story Media och AlterNet stämt OpenAI. Företagen hävdade att OpenAI använt deras artiklar utan tillstånd för att träna ChatGPT.

Domaren avslog fallet eftersom sajterna inte kunde visa någon konkret skada. Hon menade också att ChatGPT skapar nytt innehåll baserat på inlärda mönster, snarare än kopierar text direkt.

Jag skulle säga att även om amerikanska domar inte har någon juridisk verkan i Sverige så är domarens resonemang intressant. Särskilt argumentet att AI genererar nytt innehåll istället för att kopiera befintligt material.

Det ska bli intressant att följa utvecklingen här i Sverige eftersom vi står inför liknande frågor om AI och upphovsrätt i Sverige och EU.

https://www.bloomberglaw.com/public/desktop/document/RawStoryMediaIncetalvOpenAIIncetalDocketNo124cv01514SDNYFeb282024/4?doc_id=X18AGVQ2BEU9DCBFDQULD4SNTVV

Dokumentet tar upp en detaljerad genomgång av EU:s AI-förordning (AI Act) och dess olika delar. 
Det innehåller en översikt av förordningens nyckelbegrepp, riskklassificeringar och tidsplan för när reglerna börjar gälla.

 Dokumentet beskriver specifika skyldigheter för leverantörer av AI-system, särskilt de med hög risk, samt förbjudna AI och krav på transparens. Det går också igenom hur tillsyn och efterlevnad ska säkerställas genom samarbeten mellan EU och nationella myndigheter. 

Slutligen belyser dokumentet framtida riktlinjer, tekniska standarder och uppförandekoder som kommer att stödja tillämpningen av förordningen.

article

Latest in AI

2024-11-21 04:18 Wired

Despite shared concerns about Google’s power, critics of the company and former executives express little agreement on what, if anything, can really be done to increase competition.

2024-11-21 03:28 MarkTechPost

Generating high-quality, real-time video simulations poses significant challenges, especially when aiming for extended lengths without compromising quality. Traditionally, world models for video generation have faced limitations due to high computational costs, short video duration, and lack of real-time interactivity. The use of manually configured assets, as seen in AAA game development, can be costly, making […]

The post Meet The Matrix: A New AI Approach to Infinite-Length and Real-Time Video Generation appeared first on MarkTechPost.

2024-11-21 02:27 MarkTechPost

Quantum computing, despite its potential to outperform classical systems in certain tasks, faces a significant challenge: error correction. Quantum systems are highly sensitive to noise, and even the smallest environmental disturbance can lead to computation errors, affecting the expected outcomes. Unlike classical systems, which can use redundancy through multiple bits to handle errors, quantum error […]

The post Google Researchers Developed AlphaQubit: A Deep Learning-based Decoder for Quantum Computing Error Detection appeared first on MarkTechPost.

2024-11-21 00:15 Wired

Chip production delays and a rumored overheating issue haven’t slowed down Nvidia, which reported another quarter of blockbuster earnings and said Blackwells are now in the hands of Microsoft and OpenAI.

2024-11-20 17:00 Wired

Brad Porter helped Amazon deploy an army of warehouse robots. His new creation—Proxie—could help other companies embrace more automation.

2024-11-20 15:58 MarkTechPost

Artificial intelligence (AI) models have made substantial progress over the last few years, but they continue to face critical challenges, particularly in reasoning tasks. Large language models are proficient at generating coherent text, but when it comes to complex reasoning or problem-solving, they often fall short. This inadequacy is particularly evident in areas requiring structured, […]

The post DeepSeek Introduces DeepSeek-R1-Lite-Preview with Complete Reasoning Outputs Matching OpenAI o1 appeared first on MarkTechPost.

2024-11-19 18:28 ScienceDaily

In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and a second AI algorithm, the scientists can now automatically locate carcasses across vast landscapes.

Improved process control and environment with AI
2021-11-16 10:39 Implemented English

Machine Learning can often be used in place of complicated traditional mathematical methods in process industry applications. ML basically is automated statistics and statistics can be used for everything with the respect of that it is a slight difference on how to use it in different companies making copies impossible.

In this particular case we are talking about an advanced production environment, where we have applied machine learning for soft sensors and model based control where real sensors don’t work or break down.

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