Archive for the ‘Artificial Intelligence’ Category

‘There’s No Story That Stays Stable for Too Long.’ How Artists Are Using Artificial Intelligence to Confront Modern Anxieties – TIME

Agnieszka Kurants lower Manhattan studio stands among a scattering of cultural outposts that represent some of the most recent efforts of the avant guard to grapple with our cultural moment. When I visited in late January, a gallery two doors down was hosting a reproductive rights-themed show with works listed for upwards of $30,000. Across the street, four floors of the windowless New Museum were taken over by a retrospective of artist Hans Haacke, which included a demographic survey, a portrait of Ronald Reagan and a grass-covered mound of dirt. The seventh floor was occupied by a mixed reality pop-up, sponsored by Ruinart champagne, in which visitors could wander about in augmented reality glasses. Minders politely asked those without reservations to step away from the experience.

Technology and late capitalism similarly intersect in Kurants work, though perhaps with a greater degree of self-awareness. A conceptual artist, she explores modern questions over data rights, online labor exploitation and the power of big corporations. With growing public awareness of issues like the commodification of big data and the ever-increasing power of artificial intelligence (AI), shes part of a new generation of artists and curators who are trying to represent the nature of these new technologies, and the ways we are being transformed by them.

To talk about any kind of new media or new technology, sometimes its better to use an analogue technology, Kurant says, showing a photograph of a 2017 piece entitled A.A.I. She says the name is based on a phrase coined by Amazon founder Jeff Bezos, artificial artificial intelligence, which describes the process of digitally outsourcing work to human freelancers through distributed labor platforms like Amazon Mechanical Turk. The artwork consists of a series of fluorescent termite mounds created from green, blue, violet, yellow or orange artificial sand. She collaborated with entomologists at the University of Florida to enlist the labor of the termites.

If you give them something else that is not sand they will not notice the difference and they will still keep building, Kurant says. She sees termite societies as a kind of dispersed factory akin to the mechanism by which large tech companies collect massive quantities of information about users in order to power sophisticated advertising algorithms. We are all working on a very long, gigantic conveyor belt providing our data or expressing our emotions so that corporations could capitalize on it, she says.

New digitally-enabled economic systems figure even more directly into some of Kurants other pieces. In her Production Line series, produced between 2016 and 2017, she and co-author John Menick contracted hundreds of Amazon Mechanical Turk workers to each draw a single line which were then algorithmically assembled into cohesive drawings. When a painting is sold, the Turkers are given part of the profits.

Artist Agnieszka Kurant stands in front of "Conversions 2" at the de Young museum

Gary Sexton the Fine Arts Museums of San Francisco

Collectivity figures prominently in another of Kurants series, The End of Signature, in which she used computer algorithms to coalesce hundreds of individual signatures into a single illegible line. Another of her series, Conversions (2019), focuses on the ways in which collective social energy, in the form of tweets, posts and online searches, is transformed into revenue streams. Consisting of a copper plate covered with liquid crystal paint and attached to computer-controlled heat pumps, the painting changes composition in response to algorithmic sentiment analysis of tens of thousands of social media feeds tied to protest movements, continuously transforming collective societal disquiet into physical heat energy.

Even the activities of protest movements are somehow taken advantage of by corporations, says Kurant, explaining the context of the piece. There is a price tag on social energies.

Other contemporary artists are also grappling with the intersection of artificial intelligence, data and capitalism. At San Franciscos de Young museum, an exhibition entitled Uncanny Valley: Being Human in the Age of AI (Feb. 22 Oct. 25, 2020) takes its name from a term describing how artificial representations of ourselves can come too close for comfort. According to curator Claudia Schmuckli, the installation makes the case that widespread use of AI has brought about a fundamental change in humans relationship with machines.

The contemporary uncanny valley is no longer occupied by the image of the machine but by the statistical data profiles of humans that are compiled by algorithms, which are designed to mine and analyze behavior and project them into tradable or governable futures, Schmuckli says. She adds that famous pop culture representations of AI, like 2001s HAL and Schwarzeneggers Terminator, have been replaced by something even more unsettling: the reflected data profiles generated from our own lives.

A still of Stephanie Dinkins in "Conversations with Bina48" (2014-present)

Stephanie Dinkins; the Fine Arts Museums of San Francisco

Notions of uncanny resemblance figure prominently into another piece at the de Young, Conversations with Bina48, which features artist Stephanie Dinkins speaking with a humanoid social robot built to resemble a black woman.

[I] wanted to see what would happen if I tried to become friends, Dinkins tells TIME. Shes interested in exploring how communities of color fit into the new world being created by companies struggling to become more diverse. There is a small subsection of the population thats creating AI ecosystems that will be contributing to many of our lives, she says. What happens if regular people are not a part of thinking about and calling for transparency?

Installation of Ian Cheng's "BOB (Bag of Beliefs)" (2018-2019) at the de Young museum in San Francisco.

Gary Sextonthe Fine Arts Museums of San Francisco

Other artists are using AI to take decidedly unconventional approaches to the uncertainties of our time. In BOB (Bag of Beliefs) (2018-2019), artist Ian Cheng combines neural networks with a video game engine to create an intelligent simulation named BOB. The digital animal resembles a multi-headed snake. As users interact with it via a smartphone app, BOB develops beliefs about the world it inhabits, and its personality evolves over the course of a simulated lifetime. BOBs body and BOBs personality and BOBs beliefs continue to grow, explains Cheng. BOB is quite particular by the end of any of these given exhibitions.

New technologies get blamed for much of todays collective unease, but for Cheng, that same technology may also provide one of the best ways to come to terms with the times we live in. I want to feel that the thing Im looking at is alive, that it has something that can surprise me, Cheng says of his artificially intelligent artworks. It mirrors a bit the way that life feels right now where everything is constantly changing theres no story that stays stable for too long.

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Write to Alejandro de la Garza at alejandro.delagarza@time.com.

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'There's No Story That Stays Stable for Too Long.' How Artists Are Using Artificial Intelligence to Confront Modern Anxieties - TIME

Minister declares creation of artificial intelligence centres in Poland – The First News

"Poland is a place full of talented IT people," the minister said, going on to state that, as a result, the country has become a centre for outsourcing though "that state of affairs does not satisfy our ambition." Tomasz Gzell/PAP

Development Minister Jadwiga Emilewicz told a ministry debate on Artificial Intelligence (AI) on Tuesday that there are plans to develop AI centres in Poland so as to become creators rather than recipients of innovation.

Emilewicz was quoted in a ministry press release as saying that it is necessary to increase the productivity of the Polish economy with the aid of automatisation and the use of algorithms based on AI and machine learning.

"Poland is a place full of talented IT people," the minister said, going on to state that, as a result, the country has become a centre for outsourcing though "that state of affairs does not satisfy our ambition."

"We want unique intellectual value in the field of AI to be created in Poland," Emilewicz said, during a meeting with David Hanson, CEO of the Hanson Robotics company, which makes a humanoid robot called Sophia. "It is time to become a creator rather than a recipient of innovation. That's why we are striving for competence centres to emerge in Poland and for them to be catalysts of cooperation between business and science."

Hanson was quoted in the release as saying that he was considering working towards creating a hub related to ethical AI in Poland. He said the creative and technological sectors are very well developed in Poland as well as that related to robotics, which has persuaded Hanson Robotics to create an R&D centre in Poland and to conduct research into developing technology to serve people, including humanoid robots that interact with people.

The ministry pointed out that the development of AI hubs in Poland gains importance in light of a European Commission policy, which as part of the digital strategy, plans to earmark significant funds to AI development. "In the case of the 'Horizon Europe' programme, the Commission has proposed investing EUR 15 billion in a 'digital technology, industry and space' cluster in which AI is a key field of activity that will be supported," the release read.

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Minister declares creation of artificial intelligence centres in Poland - The First News

New Research from Farnell Reveals Strong Adoption of Artificial Intelligence within the Internet of Things Ecosystem – IoT Business News

Results from Farnells second IoT Survey also show increasing confidence in companies to lead IoT development.

AIoT is the major emerging trend from the survey, demonstrating the beginning of the process to build a true IoT ecosystem. Research showed that almost half (49%) of respondents already use AI in their IoT applications, with Machine Learning (ML) the most used technology (28%) followed by cloud-based AI (19%).

This adoption of AI within IoT design is coupled with a growing confidence to take the lead on IoT development and an increasing number of respondents seeing themselves as innovators. However, it is still evident that some engineers (51%) are hesitant to adopt AI due to being new to the technology or because they require specialized expertise in how to implement AI in IoT applications.

Other results from Farnells second Global IoT Survey show that security continues to be the biggest concern designers consider in IoT implementation. Although 40% cited security as their biggest concern in 2018 and this has reduced to 35% in 2019, it is still ranked significantly higher than connectivity and interoperability due to the type of data collected from things (machines) and humans, which can be very sensitive and personal. Businesses initiating new IoT projects treat IoT security as a top priority by implementing hardware and software security to protect for any kind of potential threat. Ownership of collected data is another important aspect of security, with 70% of respondents preferring to own the data collected by an edge device as opposed to it being owned by the IoT solution provider.

The survey also shows that although many engineers (46%) still prefer to design a complete edge-to-cloud and security solution themselves, openness to integrate production ready solutions, such as SmartEdge Agile, SmartEdge IIoT Gateway, which offer a complete end-to-end IoT Solution, has increased. 12% more respondents confirmed that they would consider third party devices in 2019 than 2018, particularly if in-house expertise is limited or time to market is critical.

A key trend from last years survey results has continued in 2019 and survey results suggest that the growing range of hardware available to support IoT development continues to present new opportunities. More respondents than ever are seeing innovation coming from start-ups (33%, up from 26%), who benefit from the wide availability of modular solutions and single board computers available on the market. The number of respondents adopting off-the-shelf hardware has also increased to 54% from 50% in 2018.

Cliff Ortmeyer, Global Head of Technical Marketing for Farnell says:

Opportunities within the Internet of Things and AI continue to grow, fueled by access to an increasing number of hardware and software solutions which enable developers to bring products to market more quickly than ever before, and without the need for specialized expertise.

This is opening up IoT to new entrants, and giving more developers the opportunity to innovate to improve lives. Farnell provides access to an extensive range of development tools for IoT and AI which provide off-the-shelf solutions to common challenges.

Despite the swift integration of smart devices such as Amazons Alexa and Google Home into daily life, evidencing a widespread adoption of IoT in the consumer space, in 2019 we saw a slight shift in focus away from home automation with the number of respondents who considered it to be the most impactful application in IoT in the next 5 years reducing from 27% to 22%. Industrial automation and smart cities both gained, at 22% and 16% respectively, underpinned by a growing understanding of the value that IoT data can bring to operations (rising from 44% in 2018 to 50% in 2019). This trend is witnessed in industry where more manufacturing facilities are converting to full or semi-automation in robotic manufacturing and increasing investment in predictive maintenance to reduce production down times.

The survey was conducted between September and December 2019 with 2,015 respondents participating from 67 countries in Europe, North America and APAC. Responses were predominantly from engineers working on IoT solutions (59%), as well as buyers of components related to IoT solutions, Hobbyists and Makers.

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New Research from Farnell Reveals Strong Adoption of Artificial Intelligence within the Internet of Things Ecosystem - IoT Business News

Dont forget to consider GDPR when using artificial intelligence in the workplace – ComputerWeekly.com

When applying for a new job, candidates may well find that the use of artificial intelligence (AI) tools is involved at some point in the recruitment process. New recruitment businesses and technology are entering the market, setting up entirely automated initial conversations with candidates to help them find the right vacancy for their skill set, saving time for applicant and recruiter alike.

CV screening is also becoming more prevalent, with AI screening and tracking tools being used to quickly analyse CVs to ascertain whether the individual has the qualifications and experience necessary for the role for example, burger chain Five Guys is said to be utilising such technology.

Unilever recently hit the headlines when it announced that, instead of human recruiters, it uses an AI system to analyse video interviews. Candidates record interviews on their phone or laptop, and the system scans candidates language, tone and facial expressions from the videos, assessing their performance against traits that are considered to indicate job success at Unilever.

But it is not just the recruitment stage where AI and people analytics are being used by businesses performance management is another targeted area. Amazon is leading this charge the company was issued with two patents in the US for a wristband for tracking the performance of workers in their warehouse, which would mean that staff receive a little buzz if they place a product near or in the wrong inventory location.

It is also alleged that Amazon uses a computer system to automatically generate warnings or terminations to employees, when their productivity (or lack of) warrants it.

The benefits of such technology for employers are countless and clear, including costs savings, efficiency, and the purported removal of human unconscious bias and prejudice. However, the use of AI in the workplace has come under scrutiny and has posed serious ethical and legal questions, including whether AI itself could in fact be biased.

Another important aspect when implementing AI in the workplace is its relationship with data protection laws such as the EUs General Data Protection Regulation (GDPR). So, what data protection considerations should an employer make when considering the introduction of AI technology?

The use of AI for processing personal data will usually meet the legal requirement for completing a DPIA.

A DPIA enables the business to analyse how the AI plans will affect individuals privacy, and ensures the company can assess the necessity and proportionality of its technology.

As the UK Information Commissioners guidance confirms, the deployment of an AI system to process personal data needs to be driven by the proven ability of that system to fulfil a specific and legitimate purpose, not just by the availability of the technology.

The DPIA should demonstrate that the applicable purposes the AI is being used for could not be accomplished in another reasonable way. In doing so, organisations need to think about and document any detriment to data subjects that could follow from bias or inaccuracy in the algorithms and data sets being used.

A business cannot simply process personal data because it wishes to do so data can only be processed where one of the legitimate grounds or conditions of processing has been met. There are various bases, including performance of a contract, compliance with a legal obligation, consent and legitimate business interests. For the processing of sensitive personal data (such as health data), the bases are even more limited.

Before using AI or people analytics in the workplace, employers will first need to consider what data is being processed by such activity and second what legal basis can be relied upon in processing the data in that way. If they do not have a legal basis, the data cannot be processed.

One of the key principles of GDPR is transparency, requiring businesses to provide individuals with mandatory information about the processing of their personal data, including the reason why it is being processed, the legal basis, who it will be shared with and how long it will be retained. Employers will need to update their privacy notices to ensure anyone subject to the AI technology is made aware of its use.

The privacy notice needs to be concise and intelligible, using clear and plain language this will be particularly difficult when including a complex AI system, as businesses will need to provide a meaningful explanation of the technology to meet the transparency principle of GDPR. Opaque or complex descriptions of the tech may result in contention or pushback from the employees and candidates affected.

GDPR prohibits instances of computer says no and contains the right for data subjects not to be subjected to a decision based solely on automated processing, which has a legal or similarly significant impact on them. Its aim is to protect individuals against the risk that a potentially damaging decision is taken without human intervention, and will therefore likely capture a recruitment result made without any human input.

There are specific exceptions when automated decision-making is permitted, including where explicit consent was given, contractual necessity, or where authorised by law. Where such an exception is being relied upon, such as with the consent of a candidate, the business must still implement further safeguarding measures, including permitting the individual to request human intervention or to contest the decision.

Employers will need to ensure that their automated technology is being lawfully used, before relying on its output.

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Dont forget to consider GDPR when using artificial intelligence in the workplace - ComputerWeekly.com

New research on adoption of Artificial intelligence within IoT ecosystem – ELE Times

element14, the Development Distributor, has published new research on the Internet of Things (IoT) which confirms strong adoption of Artificial Intelligence (AI) within IoT devices, alongside new insights on key markets, enablers and concerns for design engineers working in IoT.

AIoT is the major emerging trend from the survey, demonstrating the beginning of the process to build a true IoT ecosystem. Research showed that almost half (49%) of respondents already use AI in their IoT applications, with Machine Learning (ML) the most used technology (28%) followed by cloud-based AI (19%). This adoption of AI within IoT design is coupled with a growing confidence to take the lead on IoT development and an increasing number of respondents seeing themselves as innovators. However, it is still evident that some engineers (51%) are hesitant to adopt AI due to being new to the technology or because they require specialized expertise in how to implement AI in IoT applications.

Other results from element14s second Global IoT Survey show that security continues to be the biggest concern designers consider in IoT implementation. Although 40% cited security as their biggest concern in 2018 and this has reduced to 35% in 2019, it is still ranked significantly higher than connectivity and interoperability due to the type of data collected from things (machines) and humans, which can be very sensitive and personal. Businesses initiating new IoT projects treat IoT security as a top priority by implementing hardware and software security to protect for any kind of potential threat. Ownership of collected data is another important aspect of security, with 70% of respondents preferring to own the data collected by an edge device as opposed to it being owned by the IoT solution provider.

The survey also shows that although many engineers (46%) still prefer to design a complete edge-to-cloud and security solution themselves, openness to integrate production ready solutions, such as SmartEdge Agile, SmartEdge IIoT Gateway, which offer a complete end-to-end IoT Solution, has increased. 12% more respondents confirmed that they would consider third party devices in 2019 than 2018, particularly if in-house expertise is limited or time to market is critical.

A key trend from last years survey results has continued in 2019 and survey results suggest that the growing range of hardware available to support IoT development continues to present new opportunities. More respondents than ever are seeing innovation coming from start-ups (33%, up from 26%), who benefit from the wide availability of modular solutions and single board

computers available on the market. The number of respondents adopting off-the-shelf hardware has also increased to 54% from 50% in 2018.

Cliff Ortmeyer, Global Head of Technical Marketing for Farnell and element14 says: Opportunities within the Internet of Things and AI continue to grow, fueled by access to an increasing number of hardware and software solutions which enable developers to bring products to market more quickly than ever before, and without the need for specialized expertise. This is opening up IoT to new entrants, and giving more developers the opportunity to innovate to improve lives. element14 provides access to an extensive range of development tools for IoT and AI which provide off-the shelf solutions to common challenges.

Despite the swift integration of smart devices such as Amazons Alexa and Google Home into daily life, evidencing a widespread adoption of IoT in the consumer space, in 2019 we saw a slight shift in focus away from home automation with the number of respondents who considered it to be the most impactful application in IoT in the next 5 years reducing from 27% to 22%. Industrial automation and smart cities both gained, at 22% and 16% respectively, underpinned by a growing understanding of the value that IoT data can bring to operations (rising from 44% in 2018 to 50% in 2019). This trend is witnessed in industry where more manufacturing facilities are converting to full or semi-automation in robotic manufacturing and increasing investment in predictive maintenance to reduce production down times.

The survey was conducted between September and December 2019 with 2,015 respondents participating from 67 countries in Europe, North America and APAC. Responses were predominantly from engineers working on IoT solutions (59%), as well as buyers of components related to IoT solutions, Hobbyists and Makers.

element14 provides a broad range of products and support materials to assist developers designing IoT solutions and integrating Artificial Intelligence. Products are available from leading manufacturers such as Raspberry Pi, Arduino and Beagleboard. element14s IoT hub and AI pages also provide access to the latest products for development and insights and white papers to support the design journey. Readers can view an infographic covering the full results of the element14 Global IoT Survey at Farnell in EMEA, Newark in North America and element14 in APAC.

For more information, visit http://www.element14.com

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New research on adoption of Artificial intelligence within IoT ecosystem - ELE Times