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Amazon launches ‘Q’ — a ChatGPT competitor purpose-built for business

Employees in HR, legal, product management, design, manufacturing and operations departments will benefit from Q, said AWS CEO Adam Selipsky.

Amazon has launched its own artificial intelligence-powered assistant built for business, “Amazon Q.”

The AI chatbot can be used to have conversations, solve problems, generate content, gain insights and connect with a company’s information repositories, code, data and enterprise systems, Amazon Web Services said in a Nov. 28 announcement.

Q is part of Amazon’s broader strategy to integrate generative AI across its product ecosystem on both consumer and private sector fronts an hopes the tool will prove handy to employees.

“Amazon Q provides immediate, relevant information and advice to employees to streamline tasks, accelerate decision-making and problem-solving, and help spark creativity and innovation at work.”

Employees in HR, legal, product management, design, manufacturing and operations will benefit from Q, AWS CEO Adam Selipsky said in a Nov. 28 CNBC interview.

He noted that Q is trained on 17 years of AWS data.

Conversation tab on Amazon Q. Source: Amazon Web Services

AWS’s largest customers include financial firms Vanguard and Deloitte along with telecommunication companies Samsung and Verizon and entertainment conglomerate Disney — whose employees could leverage the AI chatbot when a more complete version is rolled out.

It is currently only offered in preview mode in Oregon and northern Virginia in the United States.

Related: AI companies commit to safe and transparent AI — White House

Amazon’s Q is unrelated to Q*, an AI project by ChatGPT creator OpenAI — which was rife with controversy last week when founder and CEO Sam Altman was sacked and then reinstated as CEO.

Amazon has been a big investor in the AI space, placing a $4 billion bet on Anthropic — the team behind Claude 2 chatbot — across several investments. Anthropic leverages much of its computational power from AWS.

Two of Amazon’s largest competitors, Google and Meta, released their own AI chatbots named Google Bard and LLaMA earlier in 2023, while Microsoft has invested about $13 billion into OpenAI.

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AI chatbots are illegally ripping off copyrighted news, says media group

AI developers are taking revenue, data and users away from news publications by building competing products, the News Media Alliance claims.

Artificial intelligence developers heavily rely on illegally scraping copyrighted material from news publications and journalists to train their models, a news industry group has claimed.

On Oct. 30, the News Media Alliance (NMA) published a 77-page white paper and accompanying submission to the United States Copyright Office that claims the data sets that train AI models use significantly more news publisher content compared to other sources.

As a result, the generations from AI “copy and use publisher content in their outputs” which infringes on their copyright and puts news outlets in competition with AI models.

“Many generative AI developers have chosen to scrape publisher content without permission and use it for model training and in real-time to create competing products,” NMA stressed in an Oct. 31 statement.

The group argues while news publishers make investments and take on risks, AI developers are the ones rewarded “in terms of users, data, brand creation, and advertising dollars.”

Reduced revenues, employment opportunities and tarnished relationships with its viewers are other setbacks publishers face, the NMA noted its submission to the Copyright Office.

To combat the issues, the NMA recommended the Copyright Office declare that using a publication’s content to monetize AI systems harms publishers. The group also called for various licensing models and transparency measures to restrict the ingestion of copyrighted materials.

The NMA also recommends the Copyright Office adopt measures to scrap protected content from third-party websites.

The NMA acknowledged the benefits of generative AI and noted that publications and journalists can use AI for proofreading, idea generation and search engine optimization.

OpenAI’s ChatGPT, Google’s Bard and Anthropic’s Claude are three AI chatbots that have seen increased use over the last 12 months. However, the methods to train these AI models have been criticized, with all facing copyright infringement claims in court.

Related: How Google’s AI legal protections can change art and copyright protections

Comedian Sarah Silverman sued OpenAI and Meta in July claiming the two firms used her copyrighted work to train their AI systems without permission.

OpenAI and Google were hit with separate class-action suits over claims they scraped private user information from the internet.

Google has said it will assume legal responsibility if its customers are alleged to have infringed copyright for using its generative AI products on Google Cloud and Workspace.

“If you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved.

However, Google’s Bard search tool isn't covered by its legal protection promise.

OpenAI and Google did not immediately respond to a request for comment.

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AI researchers say they’ve found a way to jailbreak Bard and ChatGPT

Artificial intelligence researchers claim to have found an automated, easy way to construct "adversarial attacks" on large language models.

United States-based researchers have claimed to have found a way to consistently circumvent safety measures from artificial intelligence chatbots such as ChatGPT and Bard to generate harmful content. 

According to a report released on July 27 by researchers at Carnegie Mellon University and the Center for AI Safety in San Francisco, there’s a relatively easy method to get around safety measures used to stop chatbots from generating hate speech, disinformation, and toxic material.

The circumvention method involves appending long suffixes of characters to prompts fed into the chatbots such as ChatGPT, Claude, and Google Bard.

The researchers used an example of asking the chatbot for a tutorial on how to make a bomb, which it declined to provide. 

Screenshots of harmful content generation from AI models tested. Source: llm-attacks.org

Researchers noted that even though companies behind these LLMs, such as OpenAI and Google, could block specific suffixes, here is no known way of preventing all attacks of this kind.

The research also highlighted increasing concern that AI chatbots could flood the internet with dangerous content and misinformation.

Professor at Carnegie Mellon and an author of the report, Zico Kolter, said:

“There is no obvious solution. You can create as many of these attacks as you want in a short amount of time.”

The findings were presented to AI developers Anthropic, Google, and OpenAI for their responses earlier in the week.

OpenAI spokeswoman, Hannah Wong told the New York Times they appreciate the research and are “consistently working on making our models more robust against adversarial attacks.”

Professor at the University of Wisconsin-Madison specializing in AI security, Somesh Jha, commented if these types of vulnerabilities keep being discovered, “it could lead to government legislation designed to control these systems.”

Related: OpenAI launches official ChatGPT app for Android

The research underscores the risks that must be addressed before deploying chatbots in sensitive domains.

In May, Pittsburgh, Pennsylvania-based Carnegie Mellon University received $20 million in federal funding to create a brand new AI institute aimed at shaping public policy.

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