Aishwarya Naresh Reganti’s Post

🌏 If you work with research in the AI space or tech in general and care about inclusion here is a must read: “Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance” (link in comments) One of the points in the paper that stood most out to me is the risk of surveys being designed from a Western centric perspective skewing the research results and hereby in the end the technology being designed. Thanks to Mohammad Tahaei, Ph.D. - one of the authors - for sharing the article with me.

I am delighted to share that the 27th edition of the Annual Review of Political Science is live and open access! It includes the article, Terra Incognita: The Governance of Artificial Intelligence in Global Perspective which is the culmination of months of research under Professor Allison Stanger alongside myself, Mitchell Schroder, Woojin Lim, and Jakob Kraus. It covers the rapidly evolving topic of AI governance and outlines the current landscape through the tracking of state responses and discusses both current risks and safety measures from a policy perspective. Check it out! https://lnkd.in/eRMCZ87d

The LLM challenge - an open source study to measure the LLM quality corridor that humans can detect - launched ~2 weeks ago. And it continues to gather interest. We now we have over 10k samples collected worldwide. Of course that data will need some scrubbing, but its humbling to see the help and contribution from all over. https://lnkd.in/gKrn9EcT <- if you haven't given this a whirl, give it a try. Your contributions help the developer and science community build better AI for humans. #OSS #LLMs #GenerativeAI cc: Sandy Carter Arun Gupta

Continuously pissed off by the undetermined peer review quality of top AI conferences? Want to know how a bad reviewer will influence your paper decision? How to improve them? We present *AgentReview*, the first LLM-based framework to simulate and analyze the peer review process. 💡~10000 generated reviews, multivariate control of reviewer and AC roles 💡Aligns with sociological theories 💡Insights for future review systems improvement https://lnkd.in/grD4XG3y

"Progress without wisdom is not real progress". Wisdom versus intelligence in the deployment of AI? A central theme of last year's FARI Conference. How should the Brussels-Capital Region work towards a functional and inclusive AI policy? The time is now. Some recommendations: 1. Foster citizen engagement for an inclusive and beneficial AI ecosystem 2. Establish a unified framework for developing truly inclusive AI technologies 3. Implement Robust Safeguards and Guidelines for the Responsible use of AI Technologies in Critical Applications 4. Maintain criticality and transparency in AI development and deployment Read the report for the full summary.

Looking forward to GW’s Imagining the Future with AI on April 2, 2024. A day of #AI seminars, discussion and networking with executives and leaders. An opportunity to gain their insights on the topic and how their organization is embracing and managing the #futureofwork. I’m curious to learn more about plans to manage #employeeengagement, #upskilling, #reskilling and #managerdevelopment.

Check out the latest work in JMD on establishing a human-AI workflow for evidence synthesis for global development. When designing evidence-based policies and programs, decision-makers must distill key information from a vast and rapidly growing literature base. Identifying relevant literature from raw search results is time and resource intensive and often done by manual screening. In this study, the authors develop an artificial intelligence (AI) agent based on a bidirectional encoder representations from transformers (BERT) model and incorporate it into a human team designing an evidence synthesis product for global development. Read more at the link below: https://lnkd.in/ea-9A4Gp

On February 14th at 15:00 CET I will participate in a panel discussion with four PhD fellows about the implications of Generative AI. We will discuss along the lines of sustainability, legal implications, accountability, alignment and more!

Self-Evolution of LLMs Provides a comprehensive survey on self-evolution approaches in LLMs. I often get asked what's next for LLMs? I think it might be self-evolution or something closely related to this emerging paradigm. There is still a lot to solve if you look closely at the different phases such as experience acquisition and self-evaluation. Paper: https://lnkd.in/euPJGjEt --- Tracked by 50K+ researchers and developers, you can also follow my weekly summary of the top AI and LLM papers here: https://lnkd.in/e6ajg945

📢 Registration is open for our live webinar: RAG-Based Approaches for Life Sciences. Join Sinequa and SciBite on October 24th for a live webinar as we delve into how Life Sciences leaders can implement AI in a pragmatic, secure and transparent way. In this webinar, you’ll explore: 🔸The hybrid approach of combining vector search with ontology based semantic search and how this provides the best of both approaches 🔸How to enable an LLM for use cases that require accuracy and explainability of the answer with confidential data 🔸How to identify internal expertise for the the hybrid approach in handling complex scientific terminology 🔗 Register today: https://bit.ly/3BC0o3b #LLM #GenAI #Data #EnterpriseSearch #LifeSciences