AI – Wednesday, September 18, 2024: Notable and Interesting News, Articles, and Papers

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A selection of the most important recent news, articles, and papers about AI.

General News, Articles, and Analyses


Audible to Start Generating AI Voice Replicas of Select Audiobook Narrators – Bloomberg

https://www.bloomberg.com/news/articles/2024-09-09/amazon-s-audible-to-create-ai-voice-replicas-of-select-audiobook-narrators

Author: Ashley Carman

(Monday, September 9, 2024) “Narrators who opt in will be able to construct their voice replicas for free. Afterward, they will be compensated for any audiobooks created using their AI voice. Payments will be made on a title-by-title basis through a royalty-sharing model.”

Adobe, Nvidia, Autodesk Building AI Tools to Make 3D Visuals – Bloomberg

https://www.bloomberg.com/news/newsletters/2024-09-11/adobe-nvidia-and-autodesk-are-building-generative-ai-for-3d-visuals

Author: Brody Ford

(Wednesday, September 11, 2024) “The next wave of generative AI services may depend on whether tech companies can find enough detailed 3D renderings of tractor-trailers and shampoo bottles.”

How CEOs Are Using Gen AI for Strategic Planning – Harvard Business Review

https://hbr.org/2024/09/how-ceos-are-using-gen-ai-for-strategic-planning

Authors: Graham Kenny; Marek Kowalkiewicz; and Kim Oosthuizen

(Wednesday, September 11, 2024) “For business leaders, especially at relatively small companies, the idea of applying gen AI to strategic planning is mouthwatering. This article explores the potential and limits of AI in helping such companies chart their strategies. Through the lens of two disguised case studies the authors show how gen AI can help companies identify some challenges and opportunities that managers missed, overcoming the human biases, but by the same token missed some possibilities rooted in the company’s specific capabilities. And although gen AI was less able to imagine possible future scenarios because its forecasts were entirely rooted in historical data, clever promoting enabled it to surface issues and questions that human managers ignored. The authors conclude that knowing gen AI’s weaknesses allows managers to take advantage of its strengths. The key is to view gen AI as a tool that augments, rather than replaces, your strategic thinking and decision-making.”

OpenAI, Nvidia Executives Discuss AI Infrastructure Needs With Biden Officials – BNN Bloomberg

https://www.bnnbloomberg.ca/business/technology/2024/09/12/openai-nvidia-executives-discuss-ai-infrastructure-needs-with-biden-officials/

Authors: Mackenzie Hawkins and Ari Natter

(Thursday, September 12, 2024) OpenAI Chief Executive Officer Sam Altman and Nvidia Corp. CEO Jensen Huang met with senior Biden administration officials and other industry leaders at the White House on Thursday to discuss how to fill the massive infrastructure needs for artificial intelligence projects.”

Emergence of Large Action Models (LAMs) and Their Impact on AI Agents

https://cobusgreyling.substack.com/p/emergence-of-large-action-models

Author: Cobus Greyling

(Friday, September 13, 2024) “While LLMs are great for understanding and producing unstructured content, LAMs are designed to bridge the gap by turning language into structured, executable actions.”

The Benefits Generative AI Brings To Fraud Management

https://www.forrester.com/blogs/the-benefits-generative-ai-brings-to-fraud-management/

Author: Andras Cser

(Monday, September 16, 2024) “While AI (machine learning) models have been used in fraud management and anti-money laundering (FRAML) before, generative AI (genAI) brings significant new benefits to FRAML initiatives, including improved customer experience, fraud management accuracy, and operational efficiency. Here are some of the key points to keep in mind when it comes to genAI and fraud management. I’ll dig into this topic in detail at a session at our upcoming Security & Risk Summit in December as part of the Identity & Fraud track.”

Can AI Be Used Ethically in Documentaries to Recreate People, Events?

https://www.indiewire.com/features/craft/ai-documentary-guidelines-ethical-use-1235048254/

Author: Chris O’Falt

(Tuesday, September 17, 2024) “The Archival Producers Alliance (APA) released guidelines for how, when, and if Generative AI should be used – Here’s seven big takeaways.”

EA execs say generative AI is “not merely a buzzword for us, it’s the very core of our business,” then pretend to tell a computer to generate buildings live on stage | GamesRadar+

https://www.gamesradar.com/games/ea-execs-say-generative-ai-is-not-merely-a-buzzword-for-us-its-the-very-core-of-our-business-then-pretend-to-tell-a-computer-to-generate-buildings-live-on-stage/

Author: Austin Wood

(Tuesday, September 17, 2024) “EA gathered a whole bunch of executives and bean counters together for a lengthy Investor Day presentation today, September 17, much of which gave two big thumbs up to myriad forms of generative AI, an increasingly divisive topic in the games industry and a driving reason behind the video game actor strike.”

Technical Papers, Articles, and Preprints


[2409.11192] Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory

https://arxiv.org/abs/2409.11192

Author: Lee, Eunhae

(Tuesday, September 17, 2024) “One application area of long-term memory (LTM) capabilities with increasing traction is personal AI companions and assistants. With the ability to retain and contextualize past interactions and adapt to user preferences, personal AI companions and assistants promise a profound shift in how we interact with AI and are on track to become indispensable in personal and professional settings. However, this advancement introduces new challenges and vulnerabilities that require careful consideration regarding the deployment and widespread use of these systems. The goal of this paper is to explore the broader implications of building and deploying personal AI applications with LTM capabilities using a holistic evaluation approach. This will be done in three ways: 1) reviewing the technological underpinnings of LTM in Large Language Models, 2) surveying current personal AI companions and assistants, and 3) analyzing critical considerations and implications of deploying and using these applications.”