The AI Collective Word: Exploring the Latest in AI, ML, and NLP

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Author

Anne Borsohalmi
June 22, 2023

Hello and Welcome to the AI Collective Word!

In this edition, we bring you a diverse range of insights and updates from the world of artificial intelligence, machine learning, natural language processing, regulations, research, and more.

TRENDING NEWS

  • U.S. President Joe Biden emphasizes the need to address the risks of artificial intelligence (AI) to national security and the economy, while safeguarding rights, safety, and privacy.

  • Biden met with civil society leaders and advocates, including Tristan Harris, Joy Buolamwini, and Rob Reich, to seek expert advice on AI and discuss ways to mitigate its dangers.

  • Governments worldwide are grappling with the regulation of generative AI, and Biden has engaged in discussions on AI with global leaders, including British Prime Minister Rishi Sunak and Indian Prime Minister Narendra Modi. The European Union is also working on setting global standards for AI through proposed changes in draft rules.

We hope you find this newsletter informative and insightful as you navigate the dynamic world of AI and its applications across industries.

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Here’s the latest recap of key headlines in the Artificial Intelligence industry.

INDUSTRY TRENDS

New foundation agent learns to operate different robotic arms, solves tasks from as few as 100 demonstrations, and improves from self-generated data.

Portland is testing out artificial intelligence to field 311 calls. The city says it’s one solution as they work to alleviate slow call response times.

To help better understand how businesses are approaching AI risk, KPMG LLP asked executives across multiple sectors for their views of the risks associated with their AI and predictive analytics models.

MACHINE LEARNING

In a paper published in Machine Intelligence Research, a team of researchers explored the problem of whether pre-trained models can be applied to multi-modal tasks and made significant progress.

NATURAL LANGUAGE PROCESSING

A technology research and development team at China's Ant Group is developing its own large-language model (LLM), internally called Zhenyi, a spokesperson said on Wednesday, confirming reports in Chinese media.

To produce improved answers for each LLM input, the Allen Institute for Artificial Intelligence, the University of Southern California, and Zhejiang University have proposed LLM-BLENDER, an ensembling framework that consistently obtains superior performance by utilizing the many advantages of several open-source large language models.

Backpack LM tackles the challenge of debiasing pronoun distributions by leveraging non-contextual representations known as sense vectors.

REGULATIONS

U.S. Senate Majority Chuck Schumer on Wednesday will call for "comprehensive legislation" to advance and ensure safeguards on artificial intelligence (AI).

The risks of artificial intelligence to national security and the economy need to be addressed, U.S. President Joe Biden said on Tuesday, adding he would seek expert advice.

RESEARCH

Freely accessible large language models have accelerated the pace of innovation, computer scientists say.

PLATFORM ENGINEERING

Harness today added a raft of generative artificial intelligence (AI) capabilities to its continuous integration/continuous delivery (CI/CD) platform as part of a larger effort to reduce the level of manual toil that today conspires to create DevOps bottlenecks.

USE CASES

Operationalizing AI fairness at LinkedIn's scale is challenging not only because there are multiple mutually incompatible definitions of fairness but also because determining what is fair depends on the specifics and context of the product where AI is deployed.

RISK AND SECURITY MANAGEMENT

According to the Astrix Security Research Group, mid size organizations already have, on average, 54 Generative-AI integrations to core systems like Slack, GitHub and Google Workspace and this number is only expected to grow. Continue reading to understand the potential risks and how to minimize them.

ETHICS

Parliamentarians set out proposals for the regulation of Artificial Intelligence to harness it as a force for good.

RESOURCES - Course

Data Science: Machine Learning - Harvard University

This Machine Learning course focuses on popular data science methodologies and the building of prediction algorithms using data. It covers various topics including machine learning algorithms, principal component analysis, and regularization. The course specifically emphasizes the creation of a movie recommendation system as a practical application. Participants will gain knowledge in training data, discovering predictive relationships, algorithm training using training data, predicting outcomes for future datasets, and avoiding overtraining through techniques like cross-validation. These skills form the fundamental basis of machine learning. Self-Paced the | Free | Introductory

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