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AI January 5, 2023

GPTZero Claims to Detect Chatbot Content

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GPTZero Claims to Detect Chatbot Content
Who wrote it? You or an AI?

The creator of GPTZero claims his app can quickly and efficiently detect whether an essay is written by a human mind or artificial intelligence (AI), but overwhelming demand crashed the service soon after launch.

Edward Tian, the creator of GPTZero, believes his creation will assist in detecting what he calls “AI plagiarism” helping the likes of high school teachers to grade papers and assignments with confidence.

Chatbots make content creation easy

The launch of chatbots such as ChatGPT and You.com has created a headache for anyone trying to separate hard work from copied work.

According to Tian, who wrote GPTZero over the New Year period, the app should be of assistance to teachers in particular.

“The motivation here is increasing AI plagiarism,” said Tian on Twitter this week before asking, “are high school teachers going to want students using ChatGPT to write their history essays? Likely not.”

Tian wrote the program with assistance from Sreejan Kumar, a PhD candidate at Princeton University.

As MetaNews previously reported, a prompter can easily instruct a Chatbot to write a specified number of words on any topic of their choosing. A prompter can also choose to specify that this document is written in an essay or report style. It’s certainly not a stretch to imagine that a student could swiftly convert any school assignment into a chatbot prompt.

That makes the idea of a chatbot detector extremely compelling, but for now, GPTZero is a victim of its own success. The sheer demand for the app has crashed it more than once in a matter of days, despite Tian’s hosting service upping its hosting and memory.

How GPTZero detects ‘AI plagiarism’

The complete inner workings of GPTZero and its bot detection model are said to be the subject of a future academic paper. In the meantime, Tian has revealed a few details about how GPTZero works in between the down times.

Tian states that one measure used is called “perplexity” which, “is a metric of randomness, or the degree of uncertainty a model has in predicting (assigning probabilities) to a text. Lower perplexity = more AI preferred.”

Tian points out that perplexity is just one measure among many since some human written texts also have low perplexity. Another measure is “burstiness”, or the uniformity of perplexity over time. AIs have more uniform perplexity whereas human writers have variable perplexity.

Hopefully, the final research paper can shed further light on the somewhat abstract concept of perplexity.

GPTZero Claims to Detect Chatbot Content

ChatGPT explaining itself.

Can one bot detect another bot?

With GPTZero struggling to bear the load of demand, MetaNews investigated whether one chatbot could detect the work of another.

MetaNews first prompted You.com with several writing assignments, including on the subject of determining whether an essay was written by a human or a chatbot. These assignments were then submitted to ChatGPT following the prompt, “Is the following text written by a human or a chatbot?:”

In every instance, ChatGPT confidently declared, “The text you provided was written by a human. There are no obvious indicators that the text was generated by a chatbot or AI.”

The simple experiment indicates that bots do not make good detectors of bot-written content.

ChatGPT did go on to elucidate on the tell-tale signs of bot written content. These included “unnatural phrasings or sentence structures” as well as “words or phrases that seem out of place or do not fit in context.” 

At this stage in the development of AI-generated content, it seems that most bots have mostly surpassed these early limitations making their work increasingly difficult to detect. 

Until Edward Tian and his Harvard friends reveal the secrets of perplexity it seems that chatbots and high school teachers alike may remain equally perplexed by AI-created essays. 

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Image credits: Shutterstock, CC images, Midjourney, Unsplash.

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Could Sci-Fi Movies Like Terminator Have Shaped Our Fears of AI?

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Could Sci-Fi Movies Like Terminator Have Shaped Our Fears of AI?

The British Computer Society CEO Rashik Parmar believes that AI threats to humanity are overstated. He said concerns being expressed “play to the fears that most of society has” and have been shaped by popular science fiction films like Terminator and Ex Machina.

His comments come in the wake of a recent statement from US-based Centre For AI Safety warning of “the risk of extinction from AI.” Signed by CEOs from OpenAI and Google, the letter says the risks should be treated with the same urgency as pandemics and nuclear war.

“There should be a healthy scepticism about big tech and how it is using AI, which is why regulation is key to winning public trust,” said Parmar, a former IBM chief technology officer for Europe, Middle East and Africa, according to local media reports.

“But many of our ingrained fears and worries also come from movies, media and books, like the AI characterizations in Ex Machina, The Terminator, and even going back to Isaac Asimov’s ideas which inspired the film I, Robot.”

Also read: AI Code of Conduct Coming ‘Within Weeks’ Says US and Europe

Movies fuel AI fears

The development of AI has raised concerns about its potential to be used for harmful purposes, such as discrimination, surveillance, and nuclear war. There have also been concerns about the potential for artificial intelligence to create mass unemployment.

In March, several luminaries including Apple co-founder Steve Wozniak, billionaire Elon Musk, Gary Marcus, and others, signed an open letter calling for a six-month moratorium on large language AI training in the world.

And then Geoffrey Hinton – considered the “godfather of AI” – quit his job at Google last month with a warning that it could fuel disinformation and cause massive job losses.

For American computer scientist Eliezer Yudkowsky, the risks of AI cannot be managed through regulation alone. He believes that the development of AI poses an existential threat to humanity and that the only way to deal with the threat is to shut it all down completely.

Could Sci-Fi Movies Like Terminator Have Shaped Our Fears of AI?

Terminator

Parmar explained that people who are more familiar with AI through Hollywood movies are more likely to believe that it poses a threat to humanity. He said the concerns that are being expressed “play to the fears that most of society has”.

“They come from what they’ve seen in the movies. They’re amazing, you watch Terminator and you think that it’s real and that it’s going to come and kill you any second now,” said Parmar.

“It’s a killing machine, that throughout the films uses AI in different ways – interpreting what’s been done, predicting the future and responding to different situations. AI isn’t explicitly mentioned but you know it’s AI that’s doing this,” he added.

Responsible development

In science fiction films like Terminator, Ex Machina and The Matrix, AI is often portrayed as a threat to humanity. The films depict artificial intelligence systems that become self-aware and decide to exterminate their human creators.

Although the movies are works of fiction, they have helped to shape public perceptions of AI, according to Parmar. He noted AI is not as powerful as Hollywood would have you believe, and that the systems are not yet capable of independent thought or action.

“AI is just a bit of software and no bit of software has any intention, it’s not sentient,” Parmar stated, urging balance and responsibility in the development of artificial intelligence.

“There are legitimate concerns about AI, which is why we need to make sure it grows up responsibly,” he said.

“It needs to be developed by ethical professionals, who believe in a shared code of conduct.” The British Computer Society chief executive officer blamed the media for “feeding off these fears” to create misconceptions about the dangers of AI.

“Do films and the media have to change? No. It just proves we need more public education about the reality of AI, and for it to be part of the skills and teaching we get when we’re very young,” Parmar added.

AI regulation

Regulators from around the world have started to pay more attention to AI in recent months. This past week, European Commission Vice President Margrethe Vestager said the EU and the United States expect to draft a voluntary code of conduct on artificial intelligence within weeks.

She said the U.S. and the EU should promote a voluntary code of conduct for AI to provide safeguards as new legislation is being developed. In May, leaders of the so-called G7 nations met in Japan and called for the development of technical standards to keep AI “trustworthy”.

China’s Cyberspace Administration has already issued new regulations that ban the use of AI-generated content to spread “fake news.” In Australia, Industry and Science Minister Ed Husic said regulation is coming soon.

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Japan Leads the Way by Adapting Copyright Laws to the Rise of AI

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Japan Leads the Way by Adapting Copyright Laws to the Rise of AI

In a groundbreaking move, the Japanese government announced that copyrighted materials used in artificial intelligence (A.I.) training would not be protected under intellectual property laws, according to local media reports.

The Minister for Education, Culture, Sports, Science, and Technology, Keiko Nagaoka, confirmed this decision. Nagoka stated that it was applicable to A.I. datasets regardless of their purpose or source.

The policy shift was a response to the increasing significance of A.I. across various industries, including robotics, machine learning, and natural language processing. 

Japan aims to foster an open and collaborative environment by exempting A.I. training data from copyright restrictions to stimulate innovation and progress.

This move has sparked a global conversation about the evolving relationship between artificial intelligence and intellectual property rights, raising important questions about balancing innovation and copyright protection. 

A.I. training, copyright laws, and fair use policy

Japan’s decision to exempt A.I. training data from copyright laws has sparked global discussions on the delicate balance between intellectual property protection and A.I. advancements.

The Japanese copyright strategy is similar to the United States Fair Use Policy. The Fair use policy promotes freedom of expression by permitting the unlicensed use of copyright-protected works in certain circumstances. Most European countries also have an open policy toward using copyrighted materials in A.I. training.

Over the past months, several high-profile cases have involved A.I. training and copyright law. The U.S. House Judiciary Committee recently held a hearing examining the intersection of generative A.I. and copyright law.

Speaking at the committee hearing, Sy Damle, a former General Counsel of the U.S. Copyright Office, argued in support of the fair use policy, describing the use of copyrighted works to learn new facts as “quintessential fair use.”

How does this impact the A.I. industry?

Several experts have aligned with Japan’s notion that removing copyright barriers in A.I. training will expedite the development of innovative solutions, ultimately driving economic growth in AI-dependent sectors.

Additionally, the move could prompt a reassessment of copyright laws in other nations as governments grapple with the challenges presented by A.I. technology.

While its long-term impact remains uncertain, Japan’s bold step signifies a significant milestone in the global conversation surrounding A.I., copyright, and the necessary legal frameworks to support these emerging technologies reshaping our world.

Japan warns OpenAI about collecting sensitive data

Reuters reported that Japanese regulators had warned OpenAI against collecting sensitive information without people’s consent.

Japan’s Personal Information Protection Commission told the ChatGPT-creator to minimize its collection of sensitive data for machine learning, adding that it may take action against the firm if its concerns persist.

The warning is coming amid reports that over half of Japan’s population wants more stringent control of the A.I. sector. According to the report, there is widespread concern among the people about the general use of such tools.

Meanwhile, Japan is not the only country concerned about OpenAI’s data collection methods. Earlier in the year, Italy temporarily banned ChatGPT over privacy concerns.

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Metaverse Experiences Must Be Worth Having, Says Stephenson

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Metaverse Creator Stephenson Opens Up On It 30 Years Later

The success of the metaverse depends on the ability of developers to build quality experiences that “millions or billions” want to have. To do that the sector must attract, find, and financially incentivize the very top talent from related industries. 

This is the verdict of Neal Stephenson, the man credited with coining the word metaverse in his 1992 novel Snow Crash.

Source the best developers

Famed author and futurist Neal Stephenson says the metaverse must find and attract the most talented people to make the sector a success. Stephenson’s comments came during an appearance at AWE USA 2023 convention on Wednesday. 

“If we’re going to have a metaverse that’s being used all the time by millions or billions of people, then there have to be experiences in the metaverse that are worth having,” Stephenson said.

“That seems like an obvious statement but for me, there’s a glaring and frustrating lack of support for the kinds of people who make those experiences,” added the author. “Right now the skill set that is needed to create the metaverse is basically what you see in the game industry. People who know how to use game engines and how to create the assets that feed into those game engines. Those people by and large have jobs and other things they could be doing. 

“We need to create the economic basis for [developers] to get rewarded if they succeed in creating metaverse experiences that a lot of people enjoy.”

Stephenson cited a number of ways that developers may be rewarded, but his personal vision is for a tokenized metaverse owned and controlled by its citizens.

In June last year, Stephenson announced Lamina1, a layer 1 blockchain infrastructure and open metaverse company. Stephenson co-founded the “batteries-included blockchain” with Peter Vessenes, reflecting their vision for an incentivized metaverse that, according to its website, could “empower a new generation of interconnected, immersive experiences across gaming, entertainment, fashion, music, and beyond.”

Metaverse Experiences Must Be Worth Having, Says Stephenson

Seeing double: Ori Inbar and Ori Inbar introduce Neal Stephenson

A tale of two metaverses

Ori Inbar, the CEO of AWE, hosted the conversation with Stephenson on what marked the opening of the 14th annual AWE convention. The latest event is running from May 31 to June 2 in Santa Clara, California. Those who can’t attend in person are invited to participate online.

In an entertaining introduction, a virtual facsimile of Inbar initially addressed conference attendees, only for the real Inbar to interrupt and reveal the entire monologue was written by ChatGPT. 

Inbar then asserted that AI makes “original voices… even more valuable than before.”

Once Inbar sat down with Stephenson the pair discussed just how far technology is developing across multiple fields. Inbar asked Stephenson where he believed the metaverse was headed; to something dystopian or something utopian.

“I think it would be very early and premature to make announcements today about whether it is going in one particular direction,” said Stephenson.

To Stephenson, both the positives and the negatives of the metaverse can co-exist within just one reality – something he explored in his 1992 novel.

“Our initial exposure to the metaverse is a kind of very vast market, a lowest common denominator to include … the worst of television,” said Stephenson said as he described the surface level of the metaverse. “But later on, as we get farther into the book, we see that people have used it to make beautiful works of art. There are some people … who lavished a lot of time and attention on making homes in the metaverse that are exquisite works of art, both visually and in this sonic environment.”

That ambition of a deeper metaverse is worth striving for, especially as a driver of its long-term success.

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