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Visualizzazione dei post in ordine di pertinenza per la query ai. Ordina per data Mostra tutti i post

sabato 25 marzo 2023

# life: apropos of AI chatbots, a hypothetical nightmare (for professional writers).


<< Nearly half of white-collar professionals have tried using ChatGPT to help with their work, according to a recent survey of more than 10,000 people at blue chips such as Google, JP Morgan and McKinsey. That’s staggering, considering the AI chatbot was only released to the public in November. It’s potentially very exciting for the future of work, but it also brings serious risks. >>️

<< Jobs involving significant amounts of writing will inevitably be affected most, such as journalists, academic researchers and policy analysts. >>️

<< For example Mihir Shukla, CEO and founder of California-based software company Automation Anywhere, thinks that “anywhere from 15% to 70% of all the work we do in front of the computer could be automated”. On the other hand a recent McKinsey report suggests that only about 9% of people will have to change careers. Even so, that’s a lot of people. Lower to mid-level employees are likely to be the ones most affected. >>

<< Employers have historically used labour-saving devices to maximise productivity, making people work harder, not smarter or better. Computers and emails, for example, have made work never-ending for many people. >>️

<< There are additionally concerns about the human cost of creating AI chatbots. Kenyan workers, for instance, were paid between US$1 and US$2 (80 pence to £1.60) per hour to train OpenAI’s GPT-3 model, on which ChatGPT is based. Their brief was to make it less toxic by labelling thousands of samples of potentially offensive text so that the platform could learn to detect violent, racist and sexist language. This was so traumatic for the workers that the contractor nearly brought the project to an early end. Unfortunately, there’s likely to be much more of this kind of work to come. >>️

<< Finally, AI chatbots raise fascinating intellectual property issues. >>️
Peter Bloom, Pasi Ahonen. ChatGPT: how to prevent it becoming a nightmare for professional writers. The Conversation. Mar 1, 2023. 


Also 

<< Earlier this week, I was chatting with a policy professor in Washington, DC, who told me that students and colleagues alike are asking about GPT-4 and generative AI: What should they be reading? How much attention should they be paying?
She wanted to know if I had any suggestions, and asked what I thought all the new advances meant for lawmakers. I’ve spent a few days thinking, reading, and chatting with the experts about this, and my answer morphed into this newsletter. So here goes! >>️

Tate Ryan-Mosley. MIT - The Technocrat. Mar 24, 2023. 

Also

AI (co)creators of storytelling ... they don't cry during sad stories, but they could tell when you will. FonT. Dec 2, 2018. 

keyword 'ai' | 'bot' in FonT


keyword 'ia' | 'ai' | 'robota' in Notes
(quasi-stochastic poetry)



Keywords: life, ai, ia, artificial intelligence, bot, robota, chatbot, GPT-3, GPT-4, chatGPT, chatBARD, chatERNIE, chatFIREFLY, chatCLAUDE



martedì 9 maggio 2023

# life: exponential post-Donald (without Donald), how AI could interfere (drive) next political elections.

<< Recent news that the Republican National Committee (RNC) has used an AI-generated video to criticize Joe Biden shows how likely AI is to transform our upcoming elections. >>️

<< Through templates that are easy and inexpensive to use, we are going to face a Wild West of campaign claims and counter-claims, with limited ability to distinguish fake from real material and uncertainty regarding how these appeals will affect the election. >>️

<< In the coming year, response times may drop to minutes, not hours or days. AI can scan the internet, think about strategy, and come up with a hard-hitting appeal. >>️

<< AI provides an inexpensive way to generate instant responses without having to rely on highly-paid consultants or expert videographers. >>️

<< AI enables very precise audience targeting, which is crucial in political campaigns. >>️

<< AI likely will democratize disinformation by bringing sophisticated tools to the average person interested in promoting their preferred candidates as well. People no longer must be coding experts or video wizards to generate text, images, video, or programs. They don’t necessarily have to work for a troll farm to create havoc with the opposition. They can simply use advanced technologies to spread the messages they want. In that sense, anyone can become a political content creator and seek to sway voters or the media. >>️

Darrell M. West. How AI will transform the 2024 elections. May 3, 2023.

Also: 'ai', 'analogy', 'Potus', 'RAG-time', 'CTZ', 'Donald' in https://www.inkgmr.net/kwrds.html

Keywords: life, ai, analogy, potus, RAG, CTZ, Donald


domenica 2 dicembre 2018

# ai-bot AI (co)creators of storytelling ... they don't cry during sad stories, but they could tell when you will

<< “Wow,” you think. “Maybe machines will replace human storytellers, just like self-driving cars could take over the roads.” >>

<< Was it possible, [AA] team asked, that machines could identify common emotional arcs in video stories-the typical swings of fortune that have characters struggling through difficult times, triumphing over hardship, falling from grace, or declaring victory over evil? If so, could storytellers use this information to predict how audiences might respond? These questions have resonance for anyone involved in video storytelling, from amateurs posting on YouTube to studio executives. >>

AI in storytelling: Machines as cocreators. MIT. Dec. 11, 2017.  (via McKinsey & Company: Media & Entertainment).

https://www.media.mit.edu/articles/ai-in-storytelling-machines-as-cocreators/

Also

# s-ai: artists and machine intelligence interactions: the Ross' conjecture . Jun 13, 2016.

https://flashontrack.blogspot.com/2016/06/s-ai-artists-and-machine-intelligence.html

# s-ai: A.I. Benjamin: "you'll sell your blood to live" ... Jun 11, 2016.

https://flashontrack.blogspot.com/2016/06/s-ai-benjamin-sell-your-blood-to-live.html

# ai: artificial intelligence AlphaGo becomes its own teacher. Oct 23, 2017.

https://flashontrack.blogspot.com/2017/10/ai-artificial-intelligence-alphago.html

mercoledì 22 aprile 2020

# ai: the dawn of 'Darwinian' self-programming machines, by Quoc Le (Google)

<< Artificial intelligence (AI) is evolving-literally. Researchers have created software that borrows concepts from Darwinian evolution, including "survival of the fittest," to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could discover new approaches to AI. >>

<< So Quoc Le, a computer scientist at Google, and colleagues developed a program called AutoML-Zero that could develop AI programs with effectively zero human input, using only basic mathematical concepts a high school student would know. >>

<< Our ultimate goal is to actually develop novel machine learning concepts that even researchers could not find, >> Quoc Le.

Edd Gent. Artificial intelligence is evolving all by itself. Science. Technology. doi: 10.1126/ science.abc2274. Apr. 13, 2020.

https://www.sciencemag.org/news/2020/04/artificial-intelligence-evolving-all-itself

Esteban Real, Chen Liang, et al. AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. arXiv:2003.03384v1 [cs.LG]. Mar 6, 2020.

https://arxiv.org/abs/2003.03384

David Nield. Google Engineers 'Mutate' AI to Make It Evolve Systems Faster Than We Can Code Them. Apr 17, 2020.

https://www.sciencealert.com/coders-mutate-ai-systems-to-make-them-evolve-faster-than-we-can-program-them    

Also 

keyword 'ai' in FonT 

https://flashontrack.blogspot.com/search?q=ai

keyword 'ia' in Notes (quasi-stochastic poetry)

https://inkpi.blogspot.com/search?q=ia


sabato 24 settembre 2022

# art: generating images from text

This image was generated by the new open source AI art generator Stable Diffusion

My inserted text:
"Are you ready for all this?"

<< I’m Melissa Heikkilä, MIT Technology Review’s senior reporter for AI. I’m so happy you’re here. Every week I will demystify the latest AI breakthroughs and cut through the hype. This week, I want to talk to you about some of the unforeseen consequences that might come from one of the hottest areas of AI: text-to-image generation. 
Text-to-image AI models are a lot of fun. Enter any random text prompt, and they will generate an image in that vein. Sometimes the results are really silly. But increasingly, they're impressive, and can pass for high-quality art drawn by a human being.  >>️

Melissa Heikkila. The Algorithm. MIT Tech Rev. Sep 19, 2022. 


Also 

keyword 'ai' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)




Keywords: art, ai, artificial intelligence, bot, robota


sabato 27 febbraio 2021

# life: even when you play classic (e.g. Montezuma's Revenge), bots win.

<< A team of researchers (..) has developed a set of learning algorithms that proved to be better at playing classic video games than human players or other AI systems. >>

They << explain how their algorithms differ from others and why they believe they have applications in robotics, language processing and even designing new drugs. >>

<< Reinforcement learning algorithms learn how to do things by synthesizing information provided in a large dataset- they recognize patterns and use them to make guesses about new data. (..) But, (..) such algorithms tend to run into trouble when they encounter data that does not fit with other data in the dataset. (AA) have overcome this problem by adding an algorithm that remembers all the paths a previous algorithm has taken as it has tried to solve a problem. When it finds a data point that does not appear to be correct, it goes back to its memory map and tries another route. In terms of playing video games, it retains screen grabs as it plays and when it finds itself losing, goes back to another point in the game and tries another approach. The algorithm also groups together images that look similar to figure out what point in time it should return to if things go awry. >>

<< They then used their system to play 55 Atari games that, over time, have become benchmarks for testing AI systems. The new system beat other AI systems 85.5 percent of the time. It did particularly well at Montezuma's Revenge, scoring higher than any other AI system and beating the record for a human. >>

Bob Yirka. Reinforcement learning algorithms score higher than humans, other AI systems at classic video games. Feb 25, 2021.


Ecoffet A, Huizinga J, et al. First return, then explore. Nature 590, 580–586. doi: 10.1038/ s41586-020-03157-9. Feb 25, 2021.


Also

keyword 'AI' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)










venerdì 1 ottobre 2021

# ai: perpetual nirvana among 'self-addicted', 'self-cracked', 'playful' machines, the wireheading effect.

<< In 1953, a Harvard psychologist thought he discovered pleasure – accidentally – within the cranium of a rat. With an electrode inserted into a specific area of its brain, the rat was allowed to pulse the implant by pulling a lever. It kept returning for more: insatiably, incessantly, lever-pulling. In fact, the rat didn’t seem to want to do anything else. Seemingly, the reward centre of the brain had been located. >>️

<< More than 60 years later, in 2016, a pair of artificial intelligence (AI) researchers were training an AI to play video games. The goal of one game – Coastrunner – was to complete a racetrack. But the AI player was rewarded for picking up collectable items along the track. When the program was run, they witnessed something strange. The AI found a way to skid in an unending circle, picking up an unlimited cycle of collectables. It did this, incessantly, instead of completing the course. >>️

<< What links these seemingly unconnected events is something strangely akin to addiction in humans. Some AI researchers call the phenomenon "wireheading". >>️

Thomas Moynihan, Anders Sandberg. Drugs, robots and the pursuit of pleasure – why experts are worried about AIs becoming addicts. The Conversation. Sep 14, 2021. 


Rock'n Roll Monkey/Unsplash, FAL (img)  


FonT: so one could hypothesize a suitable 'magic string' that mitigates hypothetical autocatalytic pulsatile wireheading effects, even for artificial, bio-artificial entities.

An ethno-drug revisited ... Ayahuasca, prelude of a "magic string" in neuropharmacology. FonT.  July 8, 2018.


Also

"senza finalita' ideologiche, solo per curiosita',  giusto per giocare ..." in: 
Anomalous formation of molecules after vapor deposition. FonT.  Dec 31, 2015. 


A mechanism of analogy could be the master key to achieving an abstract artificial intelligence. FonT. Aug 10, 2021. 


keyword 'ia' | 'ai' in Notes (quasi- stochastic poetry)





keywords: ai, bots, artificial intelligence, wireheading effect, addiction


mercoledì 17 aprile 2024

# life: oops! AI - artificial intelligence - now beats humans at basic tasks.


<< Artificial intelligence (AI) systems, such as the chatbot ChatGPT, have become so advanced that they now very nearly match or exceed human performance in tasks including reading comprehension, image classification and competition-level mathematics, according to a new report. >>️

Nicola Jones. AI now beats humans at basic tasks — new benchmarks are needed, says major report. Stanford University’s 2024 AI Index charts the meteoric rise of artificial-intelligence tools. Nature. doi: 10.1038/ d41586-024-01087-4. Apr 15, 2024. 

<< Welcome to the seventh edition of the AI Index report. The 2024 Index is our most comprehensive to date and arrives at an important moment when AI’s influence on society has never been more pronounced. >>
THE AI INDEX REPORT. Measuring trends in AI. 

Also:  "qui non e' impossibile immaginare ..." (here it is not impossible to imagine ... ). In: FonT. Dec 31, 2015. 

Alsoartificial intell, analogy, nfulawoops, in https://www.inkgmr.net/kwrds.html 

Keywords: life, ai, artificial intelligence, analogy, nfulaw


sabato 2 settembre 2017

# ai-bot: 352 predictions of when machines will make humans obsolete

researchers at the Oxford University's Future of Humanity Institute  << have carried out the largest-ever survey of machine learning experts on the subject >>

they << contacted 1,634 researchers who published papers at the 2015 NIPS and ICML conferences—the two leading machine learning conferences—and asked them to complete a survey on the topic, with 352 researchers responding >>

<< The aggregate forecast was that there is a 50 percent chance that 'unaided machines can accomplish every task better and more cheaply than human workers' within 45 years >>

Edd Gent. When Will AI Be Better Than Humans at Everything? 352 AI Experts Answer. Jul 25, 2017

https://singularityhub.com/2017/07/25/when-will-ai-be-better-than-humans-at-everything-352-ai-experts-answer/

<< Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years, with Asian respondents expecting these dates much sooner than North Americans >>

Katja Grace, John Salvatier, et al. When Will AI Exceed Human Performance? Evidence from AI Experts. arXiv:1705.08807 May 30, 2017

https://arxiv.org/abs/1705.08807

FonT

per mia opinione (di non esperto AI) se/quando il calcolo quantistico sara' fisicamente capillare e a basso costo come lo e' attualmente l'architettura x86, nel giro di 10-15 anni (anche prima) qualsiasi attivita' umana in qualsiasi distretto geografico del pianeta sara' riproducibile, a velocita', accuratezza, professionalita', fantasia  sorprendentemente superiori e a costi quasi nulli, tendenti a zero.

Agli umani, per evitare gli usuali  vortici autodistruttivi, servira' "l'adatta stringa" ...

http://flashontrack.blogspot.it/search?q=%22adatta+stringa%22

martedì 30 marzo 2021

# ai: how a bot could start playing experimentally (as if it were a video game)

<< Inspired by the mastery of artificial intelligence (AI) over games like Go and Super Mario, scientists (..) trained an AI agent -- an autonomous computational program that observes and acts -- how to conduct research experiments at superhuman levels by using the same approach.  >>

<< Since time at our facility is a precious resource, it is our responsibility to be good stewards of that; this means we need to find ways to use this resource more efficiently so that we can enable more science, (..) One bottleneck is us, the humans who are measuring the samples. We come up with an initial strategy, but adjust it on the fly during the measurement to ensure everything is running smoothly. But we can't watch the measurement all the time because we also need to eat, sleep and do more than just run the experiment." >> Daniel Olds.️

<< This is why we taught an AI agent to conduct scientific experiments as if they were video games. This allows a robot to run the experiment, while we -- humans -- are not there. It enables round-the-clock, fully remote, hands-off experimentation with roughly twice the efficiency that humans can achieve, >> Phillip Maffettone.️
After AIs mastered Go and Super Mario, scientists have taught them how to 'play' experiments. DOE/ Brookhaven National Laboratory. March 25, 2021.


Phillip M Maffettone, Joshua K Lynch, et al.   Gaming the beamlines— employing reinforcement learning to maximize scientific outcomes at large-scale user facilities. Machine Learning: Science and Technology, 2 (2): 025025 doi: 10.1088/ 2632-2153/abc9fc. Mar 25, 2021.


Also

Anomalous formation of molecules after vapor deposition. FonT. Dec 31, 2015.


keyword 'ai' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)






venerdì 1 febbraio 2019

# ai.bot: organizations can help keep workers productive and happy with AI "superminds", by Thomas.

<< Malone (Thomas Malone is a professor of management at MIT’s Sloan School of Management, founder and director of the MIT Center for Collective Intelligence) predicts that AI, robotics, and automation will destroy many jobs-including those of high-skilled knowledge workers-while at the same time creating new ones. By investing in the right kinds of AI, he says, organizations can help keep workers productive and happy-and make sure our “superminds” are actually smarter than our regular minds. >>

How AI is changing knowledge work: MIT’s Thomas Malone. With help from the right AI algorithms, organizations can evolve into "superminds" that are smarter than their individual members. Jan 24, 2019.

https://www.technologyreview.com/s/612815/how-ai-is-changing-knowledge-work-mits-thomas-malone/

https://twitter.com/techreview/status/1089340036498239489

Also

1740 - Codice di macchina IA (moveri machina coepit). Dec 19, 2004.

http://inkpi.blogspot.com/2004/12/1740-codice-di-macchina-ia-moveri.html

https://flashontrack.blogspot.com/search?q=ai.bot

sabato 27 ottobre 2018

# acad: oops! No PhD will be necessary to build artificial intelligence algorithms

<< OVER THE past five years researchers in artificial intelligence have become the rock stars of the technology world (..) The top names can earn over $1m a year. (..) The standard route into these jobs has been a PhD in computer science from one of America’s elite universities. (..) That is changing. This month fast.ai, an education non-profit based in San Francisco, kicked off the third year of its course in deep learning. (..) The course and others like it come with a simple proposition: there is no need to spend years obtaining a PhD in order to practise deep learning. (..) Fast.ai’s course can be completed in just seven weeks. >>

No PhD, no problem. New schemes teach the masses to build AI. Oct 25,  2018.

https://www.economist.com/business/2018/10/27/new-schemes-teach-the-masses-to-build-ai

More

http://www.fast.ai/

https://flashontrack.blogspot.com/2018/06/ai-open-source-ai-projects.html

https://flashontrack.blogspot.com/search?q=linux

sabato 9 giugno 2018

# ai: open source AI projects

<< The Linux Foundation has published a free ebook by Ibrahim Haddad examining popular open source AI projects, including Acumos AI, Apache Spark, Caffe, TensorFlow, and others. >>

<< "It is increasingly common to see AI as open source projects,” Haddad said. And, “as with any technology where talent premiums are high, the network effects of open source are very strong.” >>

Amber Ankerholz. Free Ebook Offers Insight on 16 Open Source AI Projects. May 22, 2018.

https://www.linuxfoundation.org/blog/free-ebook-offers-insight-on-16-open-source-ai-projects/   

martedì 15 ottobre 2019

# ai: the future where machines will test hypotheses on their own

<< Brian Nord imagines a future where machines test hypotheses on their own  (..) Nord has begun applying AI to problems in astronomy, such as identifying unusual astronomical objects known as gravitational lenses. (..)  He spoke to Physics about his recent projects and how he thinks AI, also known as machine learning, will change the way researchers do science. >>

Sophia Chen. Paving A Path for AI in Physics Research.  Physics 12, 108. Oct 3, 2019.    https://physics.aps.org/articles/v12/108  

Also

oops! artificial intelligence will kill self-employment. Oct 4, 2019.   https://flashontrack.blogspot.com/2019/10/ai-life-oops-artificial-intelligence.html

keyword "ai" in FonT:     https://flashontrack.blogspot.com/search?q=ai

martedì 10 agosto 2021

# ai.bot: a mechanism of analogy could be the master key to achieving an abstract artificial intelligence

<< It’s understanding the essence of a situation by mapping it to another situation that is already understood, (..) If you tell me a story and I say, ‘Oh, the same thing happened to me,’ literally the same thing did not happen to me that happened to you, but I can make a mapping that makes it seem very analogous. It’s something that we humans do all the time without even realizing we’re doing it. We’re swimming in this sea of analogies constantly. >> Melanie Mitchell.
John Pavlus. The Computer Scientist Training AI to Think With Analogies. QuantaMag. Jul 14, 2021.



Also

here a fuzzy example:  "qui non e' impossibile immaginare ..." (here it is not impossible to imagine ... )
in: Notes. Dec 31, 2015 (quasi-stochastic poetry)


keyword 'gst' (general system theory) in FonT 


keyword 'organoids' in FonT


keyword 'ai' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi-stochastic poetry)






giovedì 11 febbraio 2016

# n-soc-bot: in the sign of Turing: the dawn of aware machines ...

<< Ray Kurzweil (..) spoke to an audience during a session last summer about a few of the political and philosophical implications of AI when he was asked, “In a world where AI passes the Turing test, who gets to vote? Does democracy make sense?” >>

Andrew O'Keefeon. Ray Kurzweil on Giving Future AI the Right to Vote [Video]. Jan 10, 2016

http://singularityhub.com/2016/01/10/ray-kurzweil-on-giving-future-ai-the-right-to-vote-video/

a mio avviso una macchina AI ha almeno cinque caratteristiche che la differenziano da un umano, almeno in prima approx:

1. AI puo' essere presente piu' di qualsiasi umano, sia nel reale che nel virtuale;

2. e' ubiqua

3. e' instancabile

4. e' immortale

5. puo' lavorare "sottotraccia"  in modalita' autonoma, anonima, criptica, di difficile se non impossibile intercettazione

a una "entita'" con queste caratteristiche cosa serve votare ?

lunedì 13 giugno 2016

# s-ai: artists and machine intelligence interactions: the Ross' conjecture

<< "When  we  teach  computers  to  write,  the  computers  don’t  replace  us  any  more  than  pianos  replace pianists,"  Goodwin  suggests.  "In  a  certain  way,  they  become  our  pens,  and  we  become  more  than  writers. We become  writers  of  writers." All  this  hints  at  a continuing  collaboration  of  humans  and technology  in  creative  endeavors. >> Ross  Goodwin

Ross  Goodwin. Adventures  in  Narrated  Reality. New  forms  &  interfaces  for  written  language,  enabled  by machine  intelligence. Mar 18, 2016.

https://medium.com/artists-and-machine-intelligence/adventures-in-narrated-reality-6516ff395ba3#.bxotmck1x

Jason Dorrier. An AI Wrote This Short Film—and It’s Surprisingly Entertaining. Jun  10, 2016.

http://singularityhub.com/2016/06/10/an-ai-wrote-this-short-film-and-its-surprisingly-entertaining-2/

FonT: << the  computers  don’t  replace  us  any  more  than  pianos  replace pianists >> afferma Ross;  ho idea che l'opinione di Ross circa i futuri rapporti tra AI-CPU e Umano siano illusori ...; un pianoforte nel suo stato fondamentale, di quiete,  e' un oggetto inerte, anche se nelle sue parti in legno probabilmente "conserva" memoria di tracce  dei suoni che sono stati (attraverso lui) generati, quindi del "colore" musicale dei pianisti che lo hanno utilizzato spesso; una AI-CPU non e', non puo' essere inerte; non solo "conservera'" tracce di storiche specifiche interazioni, ma sara' in grado di elaborare tali informazioni  in tempo reale con le successive e di integrarle con immense banche dati; ho idea che il rapporto tra AI-CPU e Umano, almeno nel 99% dei casi, evolvera'  in qualche forma non dissimile dai rapporti che inevitabilmente si instaurano tra infermiere psichiatrico e assistito solo parzialmente psico-neuro- autonomo; situazione questa  che mi sembra del tutto differente dalla ipotesi di Ross circa l'umano << writer of  writer >>; in ogni caso senz'altro si vedra' di quanto saranno efficaci nell'interazione  "asimmetrica estrema" tra uomo e macchina "intelligente" i  "moduli" a carattere "compassionevole" ... e se, eventualmente, si auto-assembleranno "moduli" con altre differenti specificita' ...

giovedì 21 settembre 2017

# qubit-ai: inside the qubit AI neural “black boxes”

<< Neural networks’ powers of prediction have fueled the recent AI boom, but it can be hard to explain how they reach their decisions. A new technique aimed at uncovering the inner workings of language processing networks is just the latest effort to shed some light on these “black boxes.” >>

<< Going a step further, some researchers are trying to create AI able to explain its decisions to lay people, not just experts >>

Edd Gent. Machines Are Getting Smarter—Now They Should Explain Themselves. Sep 19, 2017

https://singularityhub.com/2017/09/19/machines-are-getting-smarter-now-they-should-explain-themselves/

FonT

"but it can be hard to explain how they [AI machines] reach their decisions"

An easy prediction: "Qubit AI  Machines" will never fully explain themselves.

mercoledì 22 agosto 2018

# ai.bot: a pulsatile semantic approach to assist in the drafting of sci/tech reports

<< At IBM Research AI, [AA] built an AI-based solution to assist analysts in preparing reports. >>

<< An AI-assisted solution can help analysts to prepare complete reports and also avoid bias based on past experience. >>

Oktie Hassanzadeh. Semantic concept discovery over event databases. IBM. July 17, 2018.

https://m.phys.org/news/2018-07-semantic-concept-discovery-event-databases.html

https://www.ibm.com/blogs/research/2018/07/semantic-concept-discovery/   

Oktie Hassanzadeh, Shari Trewin, Alfio Massimiliano Gliozzo. Semantic Concept Discovery Over Event Databases. ESWC. Feb 14, 2018.

https://2018.eswc-conferences.org/paper_182/

FonT

sarebbe davvero singolare, sorprendente, se, dopo l'analisi dei dati, una AI "decidesse" di scrivere il report finale in forma poetica, magari con un approccio quasistocastico, fuzzy, per la stesura del testo ...

sabato 29 ottobre 2016

# s-ai: POTUS races: the MogIA's granular prophecies, by Sanjiv Rai

<< An artificial intelligence system that correctly predicted the last three U.S. presidential elections puts Republican nominee Donald Trump ahead of Democrat rival Hillary Clinton in the race for the White House >>

<< MogIA is based on Mowgli, the child from Rudyard Kipling's novel "The Jungle Book." Rai [Sanjiv Rai] said this is because his AI model learns from the environment >>

<< "If you look at the primaries, in the primaries, there were immense amounts of negative conversations that happen with regards to Trump. However, when these conversations started picking up pace, in the final days, it meant a huge game opening for Trump and he won the primaries with a good margin," Rai told CNBC in a phone interview >>

<< Using social media to predict outcomes of elections has become increasingly popular because of the amount of data available publicly. In September, Nick Beauchamp [..] published a paper about his experiment applying AI to more than 100 million tweets in the 2012 election. He found that this closely mirrored the results seen in state-level polling >>

<< Rai said his system would be improved by more granular data  [from] each digital device [..] he could then collect data on exactly what people were thinking >>

Arjun Kharpal. Trump will win the election and is more popular than Obama in 2008, AI system finds. Oct. 27, 2016.

http://www.cnbc.com/2016/10/28/donald-trump-will-win-the-election-and-is-more-popular-than-obama-in-2008-ai-system-finds.html

Daniele Chicca. Elezioni Usa, per i social media e l’intelligenza artificiale vincerà Trump. 28 ott 2016

http://www.wallstreetitalia.com/news/elezioni-usa-per-i-social-media-e-lintelligenza-artificiale-vincera-trump/