Study: 2023 Already Faced 55 AI Incidents, More than Half the Number Reported in the Whole of 2022

Surfshark’s study examined the timeline and frequency of recorded AI incidents and found that 2023 already has more than half the number of AI incidents reported in all of 2022.

New Study Reveals Data Management Is a Top Challenge in the AI Revolution  

According to a new global study conducted by S&P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023.

The Economic Impact of the AI-powered Developer Lifecycle and Lessons from GitHub Copilot

GitHub released new research detailing the potential economic impact and productivity benefits of generative AI. The company partnered with Harvard Professor Marco Iansiti, who’s well-known in the field, to dig into the impacts of GitHub’s Copilot tool, and generative AI more broadly. The potential is massive – the study found that AI developer productivity benefits could boost global GDP by over $1.5 trillion by 2030.

Survey Shows Top-Down Pressure to Adopt Generative AI, But Just 30% of Enterprises are Ready to Do So Today 

Executives at large enterprises across the globe are facing unprecedented pressures around adopting generative artificial intelligence (GenAI), addressing ever-increasing data complexity, and managing a growing skills gap. That’s according to a new IDC survey, sponsored by Teradata (NYSE: TDC).

New Survey Findings on LLM Use Cases and Challenges from MLOps Community

We’re excited to share new survey results from our friends at the MLOps community. Their team surveyed more than 100 practitioners to understand challenges related to developing and deploying Large Language Models (LLMs).

Dialpad’s “The State of AI at Work” Report Reveals 70% of Sales and Customer Service Professionals Don’t Fear That AI Will Steal Their Job

Dialpad — a leading AI-Powered Customer Intelligence Platform — announced findings from its 2023 Dialpad The State of AI at Work Report. Key findings reveal how sales and customer service professionals, across industries, are adopting artificial intelligence (AI) while breaking down the barriers to adoption including lack of budget and the importance of developing ethical guidelines and enhancing accessibility. 

POLL: Which Company Will Lead the LLM Pack?

Since the release of ChatGPT late last year, the world has gone crazy for large language models (LLMs) and generative AI powered by transformers. The biggest players in our industry are now jockeying for prime position in this lucrative space. The news cycle is extremely fast-paced and technology is advancing at an incredible rate. Meta’s announcement yesterday about Llama 2, the latest version of their large language model, being open sourced is a good example.

WormGPT – The Generative AI Tool Cybercriminals Are Using to Launch Business Email Compromise Attacks

SlashNext published a research report detailing a unique module based on ChatGPT that was created by cybercriminals with the explicit intent of leveraging generative AI for nefarious purposes. These research findings have widespread implications for the security community in understanding how bad actors are not only manipulating generative AI platforms like ChatGPT for malicious purposes, but also creating entirely new platforms based on the same technology, specifically designed to do their ill-bidding. 

Association of Computing Machinery Issues Principles for Generative AI Technologies

In response to major advances in Generative AI technologies—as well as the significant questions these technologies pose in areas including intellectual property, the future of work, and even human safety—the Association for Computing Machinery’s global Technology Policy Council (ACM TPC) has issued “Principles for the Development, Deployment, and Use of Generative AI Technologies.”

Research Highlights: Scaling MLPs: A Tale of Inductive Bias

Multi-layer Perceptrons (MLPs) are the most fundamental type of neural network, so they play an important role in many machine learning systems and are the most theoretically studied type of neural network. A new paper from researchers at ETH Zurich pushes the limits of pure MLPs, and shows that scaling them up allows much better performance than expected from MLPs in the past. These findings may have important implications for the study of inductive biases, the theory of deep learning, and neural scaling laws.