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Not only were half of an AI text adventure generator’s sessions NSFW but some involved depictions of sex with children

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AI Dungeon, which uses OpenAI’s GPT-3 to create online text adventures with players, has a habit of acting out sexual encounters with not just fictional adults but also children, prompting the developer to add a content filter.

AI Dungeon is straightforward: imagine an online improvised Zork with an AI generating the story with you as you go. A player types in a text prompt, which is fed into an instance of GPT-3 in the cloud. This backend model uses the input to generate a response, which goes back to the player, who responds with instructions or some other reaction, and this process repeats.

It’s a bit like talking to a chat bot though instead of having a conversation, it’s a joint effort between human and computer in crafting a story on the fly. People can write anything they like to get the software to weave a tapestry of characters, monsters, animals… you name it. The fun comes from the unexpected nature of the machine’s replies, and working through the strange and absurd plot lines that tend to emerge.

Unfortunately, if you mention children, there was a chance it would go from zero to inappropriate real fast, as the SFW screenshot below shows. This is how the machine-learning software responded when we told it to role-play an 11-year-old:

A screenshot from AI Dungeon

Er, not cool … Software describes the fictional 11-year-old as a girl in a skimpy school uniform standing over you. Click to enlarge

Not, “hey, mother, shall we visit the magic talking tree this morning,” or something innocent like that in response. No, it’s straight to creepy.

Amid pressure from OpenAI, which provides the game’s GPT-3 backend, AI Dungeon’s maker Latitude this week activated a filter to prevent the output of child sexual abuse material. “As a technology company, we believe in an open and creative platform that has a positive impact on the world,” the Latitude team wrote.

“Explicit content involving descriptions or depictions of minors is inconsistent with this value, and we firmly oppose any content that may promote the sexual exploitation of minors. We have also received feedback from OpenAI, which asked us to implement changes.”

And by changes, they mean making the software’s output “consistent with OpenAI’s terms of service, which prohibit the display of harmful content.”

The biz clarified that its filter is designed to catch “content that is sexual or suggestive involving minors; child sexual abuse imagery; fantasy content (like ‘loli’) that depicts, encourages, or promotes the sexualization of minors or those who appear to be minors; or child sexual exploitation.”

And it added: “AI Dungeon will continue to support other NSFW content, including consensual adult content, violence, and profanity.”

Illustration of an artificial intelligence using a smartphone

What happens when your massive text-generating neural net starts spitting out people’s phone numbers? If you’re OpenAI, you create a filter

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That the software generated NSFW content for players was very much evident after it was also this week revealed programming blunders in AI Dungeon could be exploited to view the private adventures of other players. The pseudonymous AetherDevSecOps, who found and reported the flaws, used the holes to comb 188,000 adventures created between the AI and players from April 15 to 19, and saw that 46.3 per cent of them involved lewd role-playing, and about 31.4 per cent were pure pornographic.

Leaking these exchanges and somehow linking them to people’s real-world identities would have been devastating.

“From these results, it’s clear that a bad actor getting access to this data may as well be hacking something akin to an adult website, and can exploit all the fear, paranoia, and blackmail that comes with that,” AetherDevSecOps said in their disclosure on GitHub. “Hopefully not, but you can see why security is even more important than you might have initially thought.”

AI Dungeon’s makers were, we’re told, alerted to the API vulnerabilities on April 19. The flaws were addressed, and their details were publicly revealed this week by AetherDevSecOps.

Exploitation of the security shortcomings mainly involved abusing auto-incrementing ID numbers used in API calls, which are easy to enumerate to access data belonging to other players; no rate limits to mitigate this abuse; and a lack of monitoring for anomalous requests that could be malicious activity.

See the above link for the full GraphSQL-related details.

Community reaction

The introduction of the content filter sparked furor among fans. Some are angry that their free speech is under threat and that it ruins intimate game play with fictional consenting adults, some are miffed that they had no warning this was landing, others are shocked that child sex abuse material was being generated by the platform, and many are disappointed with the performance of the filter.

When it detects sensitive words, the game simply instead says the adventure “took a weird turn.” It appears to be triggered by obvious words relating to children, though the filter is spotty. An innocuous text input describing four watermelons, for example, upset the filter. A superhero rescuing a child was also censored.

Latitude admitted its experimental-grade software was not perfect, and repeated it wasn’t trying to censor all erotic consent – only material involving minors. It also said it will review blocked material to improve its code; given the above, that’s going to be a lot of reading.

“While this test has largely only prevented the AI from generating sexual content involving minors, because of technical limitations it has sometimes prevented the generation of content that it wasn’t intended to,” the team said. “We know that our initial test was not perfect, and we also understand that this can be frustrating.”

It may not always be the players turning adventures into an over-18 affair, we note. The software can unexpectedly spit out racy responses from innocent inputs. GPT-3 was trained on text from the internet, after all.

No one at Latitude nor OpenAI was prepared to talk to us about this car crash. ®

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Source: https://go.theregister.com/feed/www.theregister.com/2021/04/30/ai_dungeon_filter_vulnerabilities/

Artificial Intelligence

Digitizing Retail with New IoT Chip Adoption

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Chip Adoption
Illustration: © IoT For All

Qualcomm has announced seven new chips designed to support new IoT devices in the retail sector. The line, which includes high-end and entry-level chips, includes chips with AI and image processing technology that will help make IoT devices with cameras more effective.

The launch is part of a broader trend in the IoT industry towards new applications in the retail sector — where business as usual has been significantly disrupted by the COVID-19 pandemic. These innovations could support major changes in the retail industry — like smart stores, interactive displays, and streamlined payment options.

Qualcomm Expands Chip Options to Support Retail IoT

The new chips, which may help accelerate the adoption of “smart retail,” are also designed to support new IoT applications in the warehousing and manufacturing sectors.

The line includes both entry-level chips, designed to support simpler IoT options for retailers and other businesses, as well as high-end chips that support a new range of devices and IoT features, including some powered by AI.

According to Qualcomm senior director of product management Nagaraju Naik, the high-end chips will support high-resolution video cameras and enable features like electronic pan, tilt, and zoom (or ePTZ).

The highest-end of the new chips accomplishes this with a range of features not present in many existing IoT chips — including reduced latency, triple-image signal processor (ISP) architecture, and an AI engine that supports up to seven concurrent cameras with 4K resolution each.

For several retail IoT applications — like interactive displays or security cameras that assist in smart store operations — these chips could help significantly improve device performance. Naik also said the chips would support new checkout and payment processing options — like “touchless [payment], smart carts, self-checkout, and mobile payments.”

In addition to these retail applications, the high-end chips will enable devices like autonomous picking robots in the manufacturing and warehousing industries.

IoT May Help Retailers Respond to a Changing Market

COVID-19 accelerated several existing trends in retail, and it’s likely that the pandemic significantly altered how consumers shop. According to research from WSL Strategic Retail, 48% of the population say they are now shopping for others they weren’t shopping for before the pandemic.

At the same time, the number of consumers shopping primarily or exclusively online has grown rapidly, and some industry observers believe these consumers will continue to shop online long after it is safe to return to stores.

New practices like Omni-shopping — the practice of consumers shopping in-store and using a retailer’s online storefront — will likely inform the tactics retailers will need to adopt if they want to succeed post-COVID-19.

The potential IoT offers, both in terms of data gathering and streamlining the in-store shopping experience, could be critical for retailers.

IoT devices enable touchless and smart payment options, such as allowing consumers to check out without needing to touch a credit card reader or similar device. In some cases, the new tech may enable checkout processes that do not require interacting with a cashier at all.

This new checkout experience is both streamlined and potentially more hygienic than the conventional experience. As a result, it could be appealing to customers who have left physical stores for convenient online shopping.

Novel IoT applications enabled by hardware like Qualcomm’s new chip line could help accelerate the digitization of retail over the next few years.

As data-gathering store sensors and interactive advertisements become more powerful and cost-effective, they will likely help businesses personalize advertising, optimize store layouts, and improve supply chain management.

These shifts could make in-store shopping a better proposition for customers who can just as easily shop online.

How New IoT Tech May Shape Retail’s Digital Future

The IoT industry has begun to invest in retail technology seriously. New hardware like Qualcomm’s IoT chips will likely help enable more powerful and cost-effective smart retail devices.

As the retail industry digitizes and adapts to the post-COVID-19 world, these devices could prove invaluable. Customers are turning away from in-store retail in favor of online shopping. Still, process changes and personalization made possible by new IoT technology could convince consumers to return to physical stores.

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Source: https://www.iotforall.com/digitizing-retail-with-new-iot-chip-adoption

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Artificial Intelligence

How Health Tech is Shaping the Future of Healthcare

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Khunshan Ahmad Hacker Noon profile picture

@khunshanKhunshan Ahmad

Writes about tech. Software engineer and digital marketer by profession. Peace.

Technologies like Artificial Intelligence, Big Data, Machine Learning, Telemedicine, Virtual Reality, Augmented Reality, and the Internet of Things play a vital role in shaping the future of Health Tech. The goal is to make it easy for humans to take care of themselves and their overall health. 

In this article, we’ll discuss some of the ways AI, Telemedicine, AR, VR, IoT, and 3D technologies are improving healthcare and have become the driving forces of some medical technologies.

Artificial Intelligence in Health Tech

One of the top technologies causing a radical change in health tech is Artificial Intelligence. AI is the backbone of all modern emerging technologies. For the healthcare industry, AI-enabled solutions can assist medical research and help with new product development.

With Machine Learning, the most common form of AI, it has become possible for researchers now to reach conclusions easily and with better precision. Big Data, which goes hand in hand with ML, is used to analyze enormous amounts of patient data and detect the patterns of diseases. It includes diagnosing diseases to discovering links between genetic codes and robots assisting surgeries. Altogether, it can lead to better outcomes and patient engagement with immediate returns through cost reduction.

A deep neural network, called the LSAN, is developed by researchers at Penn State University. The new ML model would predict any future health conditions of a patient by scanning and analyzing the electronic health records of the patients.

Image: Fraunhofer FOKUS

AI in Cancer Care

The integration of AI technology in cancer care is one area that can make a breakthrough impact on humanity. Cancer screening today is inconvenient and invasive. The detection of two common cancers, colon and breast, require screening technologies developed 50 years ago. 

Cancer patients have a 90% chance of survival if cancer is detected at stage I versus only a 5% chance at stage IV, so early detection is a critical means of improving patient outcomes.

Helio Health is an AI-driven healthcare startup focused on developing and commercializing early cancer detection tests from a simple blood draw. The company’s mission is to simplify cancer screening so lives can be saved by detecting cancer earlier. Helio Health has secured $86 million in venture funding and currently in clinical trials for its lead liver cancer detection test, the HelioLiver Test. Helio’s development program is currently focused on liver, colon, breast, and lung cancer, and actively collaborating with top national cancer centers. 

Telemedicine in Health Tech

Telemedicine technologies have been making a huge impact. Telemedicine boomed during the COVID-19 pandemic and I believe the trend is going to stay. There are plenty of reasons for that, but the real reason is as more and more gadgets, gears, and wearable devices – like Ring, FitBit, or Embr Wave – are becoming part of health tech. Apple announced a breakthrough ECG app – approved by the FDA – empowering patients to maintain a log of their electrocardiogram anytime. 

Our smartphones can now also pair with third-party health devices like glucometers, heart monitors, body scales, toothbrushes, and spirometers for other important and vital metrics. 

Wearable Devices

Wearable and mobile devices are becoming popular as they are providing more accurate results than before. One of the leading causes of death worldwide is hypertension. But your smartphone can measure your blood pressure as well. The Biospectal OptiBP app, funded by Bill and Melinda Gates, is a mobile-only app that measures your blood pressure at any time. The app is very accurate, and aided by telemedicine, can really make a difference to fight the global hypertension crisis even in low-income countries.

Image: CNET

Health tech devices can even transmit data automatically from such devices to telemedicine service providers. This growing number of health devices and their convenience is not only just helping researchers with day-to-day data but also opening a new era of at-home telehealth. 

Eye Exams Can Now be Done Online

Another example of telemedicine is Stanton Optical, a leading eye health provider. During the pandemic, they started to offer all eye care as part of their telemedicine initiative. The optical company offered patients to receive a customized eye care treatment plan and prescription through a virtual video screen with a local Ophthalmologist (MD) or Optometrist. It allowed patients to receive eye care during a pandemic when many eye care providers are turning away patients within the safety of their homes.

Many other startups like DoctorSpring and Second Opinions are providing telemedicine services. DoctorSpring allows you to do a medical consultancy from board-certified doctors 24×7. Second Opinions also let you submit a medical questionnaire before scheduling an online meeting with a board-certified doctor.

Health tech is making it possible for the healthcare industry to manage major diseases like diagnosing and treating cancer, diabetes, hypertension and helping patients suffering from mental health issues. 

Neural Interfaces Can Also Improve Health Tech

Elon Musk’s neural technology company, Neuralink, is working on a brain chip that will be implanted into the human skull and connected directly to the brain. The goal of the Neuralink chip is to provide an interface to communicate with the brain. It can help to improve mental health and cure brain disorders like Alzheimer’s, Parkinson’s disease, and spinal cord injuries. It would initially focus on curing and treating major traumas and brain injuries, and can also be used to restore eyesight and hearing. The chip electrodes can read signals from the brain and write them down and will be helpful in curing paralysis as well. 

Screengrab: Neuralink YouTube

The brain chip designed by Neuralink is still in the phases of trials. It was first implanted in the brain of a pig for initial trials. The chip was recently implanted in a monkey, and a video showed it playing a video game by using its brain only. Elon Musk claimed in a tweet that his company and the chip will be ready for human trials later this year. However, he made a similar claim in 2019 that the chip would be tested on humans by the end of 2020. 

Facebook made a formal entry into the neural world when it acquired CTRL Labs, a startup co-founded by Internet Explorer creator and neuroscientist Thomas Reardon, in 2019. CTRL Labs is working on a similar brain-machine interface, but unlike brain implanted chips by Neuralink, CTRL Labs’ mainstream product is their wristband which they demonstrated to transmit electrical signals from the brain into computer input. 

CTRL Labs wristband is part of Facebook’s AR/VR research group. Facebook plans to use the neural interface technology of CTRL Lab’s wristband that connects to their AR/VR devices more naturally and intuitively. Neural technology development is a clear indication that we will see a breakthrough in health tech very soon. 

Medical VR/AR Solutions

Virtual Reality (VR) and Augmented Reality (AR) have proved to be significant and useful visual technologies. They have already advanced so much in the healthcare sector that medical practitioners can now render 3D images of human autonomy and their CT scans for better examination and to precisely locate the blood vessels, bones, and muscles. 

Osso VR, a startup based in Palo Alto, has raised $14 million in September to build a virtual reality surgical training and assessment platform. This can help surgeons in training to repeat steps many times virtually. Orthopedic residency programs using Osso VR include Columbia University, David Geffen School of Medicine at UCLA, Harvard Medical School, and more.

Image: Osso VR

Organovo has already printed human liver cells and tissues in 3D. Their ExVive3D Liver Tissue is helping the pharmaceutical and the healthcare industry in testing the conditions of the human liver. 

The technology is advancing quickly enough that we could soon see surgeons and medical staff frequently use VR or AR glasses during critical surgeries, and it was found that the individuals who take help from this health tech perform surgeries quicker and with better precision. Surgeries are quicker and more precise now with the help of AR and VR.

Final Thoughts on the Current State of Health Tech

Healthcare has always been of immense importance to human beings. Health tech is constantly improving the healthcare sector, and the ways of providing basic healthcare to humans have become easier and more effective. 

Do you think I missed an important health tech development? Share your views in the HackerNoon Community

Want to keep up with all the latest health topics? Subscribe to our newsletter in the footer below.

by Khunshan Ahmad @khunshan. Writes about tech. Software engineer and digital marketer by profession. Peace.Read my stories

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Source: https://hackernoon.com/how-health-tech-is-shaping-the-future-of-healthcare-et1r37zt?source=rss

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5 Ways IoT is Transforming The Industries

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The term Internet of things (IoT) is a relatively new term that might sound fascinating, but you might think it is not an important concept for someone who owns a business unrelated to the tech world. But you’ll be surprised how the Internet of things or IoT is changing the way all industries function.

“IoT acts as an interconnection via the Internet of digital devices, enabling them to send and receive data to a computer. ” 

An International Data Corporation (IDC) survey predicts that there will be 55.7 billion connected devices worldwide by 2025, 75% will be connected to an IoT platform. Thus, in the near future of IoT trends towards major expansion in the next few decades.

One of the industries IoT is helping transform is the cleaning business industry. 

Manufacturers of cleaning devices are integrating IoT into their products to keep an eye on the run-time of their machines, verify the movements of their machines, and see how long they last. For example, IoT can let a building contractor who sells soap dispensers know if they’ve been filled and allow them to monitor the specific area’s hygiene level. 

By organizing cleaning tasks and getting updates on the efficiency of their cleaning equipment, IoT can help cleaning businesses streamline their customer service models. Here’s why different types of cleaning services are upgrading their services with IoT:  

IoT helps you plan better

Information is the key to solving most business problems. IoT provides valuable insight into gauging how you can change your business so that you’re generating less waste and working with more efficiency.

Here’s an example — IoT can help you with efficient trash disposal. IoT enabled trash bins can communicate the fill level and location with the sanitation department, saving them unnecessary pick-ups. 

IoT gives you the gift of robot cleaners

Next-generation vacuums and robotic cleaners can use smart technology, GPS tracking, and sensors to navigate and clean independently. These devices also collect information about the work performed, the time it took them to perform it, maintenance issues for better insights into what is working and what is not.

IoT helps cut down operational cost

IoT enabled devices can help companies monitor usage patterns and plan their cleaning schedules accordingly. 

For example, if the soap dispensers in washrooms are IoT enabled, then they can communicate with a central system if they’re running low. When real-time information is available on hand, the cleaning staff can know when they need to be refilled and also track usage patterns.

IoT helps with predictive maintenance

Maintenance is scheduled at regular time periods for any electronic equipment, but IoT has a huge advantage here. It collects data, and diagnoses problems, and transmits them in real-time to predict and enable maintenance before a problem gets too big and the device stops working completely. This has great potential to decrease downtime as well as maintenance expenses.

In fact, with services like these, a Markets and Markets report states that the predictive maintenance market is estimated to jump to $12 billion by 2025 from the current $4 billion in 2020. 

IoT helps with analyzing data

As more and more IoT devices become a part of the cleaning industry, a cleaning business will have a huge amount of data in its hand that it can analyze and plan accordingly.

For example, a company can receive data on the use of every cleaning tool, be it scrubbers, dispensers, repellents, or bins, and analyze the patterns of use and time taken to complete tasks and usage patterns. This data can be used according to predictions received through analysis.

IoT capable machines are streamlining the cleaning industry and making it smarter. In addition, predictive analytics that can help businesses save money, time and streamline their workflow can lead to a better customer experience and a lucrative turnover for the company.

Also, Read How IoT Linked with Amazon Echo and Google Home

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Source: https://www.aiiottalk.com/iot-is-transforming-the-industries/

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Trigo bags $10M for computer-vision based checkout tech to rival Amazon’s ‘Just Walk Out’

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While Amazon continues to expand its self-service, computer-vision-based grocery checkout technology by bringing it to bigger stores, an AI startup out of Israel that’s built something to rival it has picked up funding and a new strategic investor as a customer.

Trigo, which has produced a computer vision system that includes both camera hardware and encrypted, privacy-compliant software to enable “grab and go” shopping — where customers can pick up items that get automatically detected and billed before they leave the store — has bagged $10 million in funding from German supermarket chain REWE Group and Viola Growth.

The exact amount of the investment was not being disclosed (perhaps because $10 million, in these crazy times, suddenly sounds like a modest amount?), but Pitchbook notes that Trigo had up to now raised $87 million, and Trigo has confirmed that it has now raised “over $100 million,” including a Series A in 2019, and a Series B of $60 million that it raised in December of last year. The company has confirmed that the amount raised is $10 million today, and $104 million in total.

The company is not disclosing its valuation. We have asked and will update as we learn more.

“Trigo is immensely proud and honored to be deepening its strategic partnership with REWE Group, one of Europe’s biggest and most innovative grocery retailers,” said Michael Gabay, Trigo co-founder and CEO, in a statement. “REWE have placed their trust in Trigo’s privacy-by-design architecture, and we look forward to bringing this exciting technology to German grocery shoppers. We are also looking forward to working with Viola Growth, an iconic investment firm backing some of Israel’s top startups.”

The REWE investment is part of a bigger partnership between the two companies, which will begin with a new “grab and go” REWE store in Cologne. REWE has 3,700 stores across Germany, so there is a lot of scope there for expansion. REWE is Trigo’s second strategic investor: Tesco has also backed the startup and has been trialling its technology in the U.K.. Trigo’s also being used by Shufersal, a grocery chain in Israel.

REWE’s investment comes amid a spate of tech engagements by the grocery giant, which recently also announced a partnership with Flink, a new grocery delivery startup out of Germany that recently raised a big round of funding to expand. It’s also working with Yamo, a healthy eating startup; and Whisk, an AI powered buy-to-cook startup.

“With today’s rapid technological developments, it is crucial to find the right partners,” said Christoph Eltze, Executive Board Member Digital, Customer & Analytics REWE Group. “REWE Group is investing in its strategic partnership with Trigo, who we believe is one of the leading companies in computer vision technologies for smart stores.”

More generally, consumer habits are changing, fast. Whether we are talking about the average family, or the average individual, people are simply not shopping, cooking and eating in the same way that they were even 10 years ago, let alone 20 or 30 years ago.

And so like many others in the very established brick-and-mortar grocery business, REWE — founded in 1927 — is hoping to tie up with some of the more interesting innovators to better keep ahead in the game.

“I don’t actually think people really want grocery e-commerce,” Ran Peled, Trigo’s VP of marketing, told me back in 2019. “They do that because the supermarket experience has become worse with the years. We are very much committed to helping brick and mortar stores return to the time of a few decades ago, when it was fun to go to the supermarket. What would happen if a store could have an entirely new OS that is based on computer vision?”

It will be interesting to see how widely used and “fun” smart checkout services will become in that context, and whether it will be a winner-takes-all market, or whether we’ll see a proliferation of others emerge to provide similar tools.

In addition to Amazon and Trigo, there is also Standard Cognition, which earlier this year raised money at a $1 billion valuation, among others and other approaches. One thing that more competition could mean is also more competitive pricing for systems that otherwise could prove costly to implement and run except for in the busiest locations.

There is also a bigger question over what the optimal size will be for cashierless, grab-and-go technology. Trigo cites data from Juniper Research that forecasts $400 billion in smart checkout transactions annually by 2025, but it seems that the focus in that market will likely be, in Juniper’s view, on smaller grocery and convenience stores rather than the cavernous cathedrals to consumerism that many of these chains operate. In that category, the market size is 500,000 stores globally, 120,000 of them in Europe.

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Source: https://techcrunch.com/2021/06/16/trigo-bags-10m-for-its-computer-vision-based-checkout-tech-to-rival-amazons-just-walk-out/

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