A viral app which claims to'honestly' classify selfies using its in-built artificial intelligence has been spewing out vile and racist labels. Furious users say their pictures have been slapped with offensive and racist terms such as'negro', 'slant eye' and'rape suspect' by the app which was developed at Princeton University. Developers say causing offence was exactly the intention and it was intended to be deliberately provocative to draw attention to the in-built prejudice and discrimination in many forms of machine learning. But many users are still furious that their images have played a seemingly unwitting part in the controversial project. One MailOnline staffer who tried the app was dubbed a'rape suspect' when he uploaded his selfie.

The use of Artificial Intelligence (AI) in the areas of predicting legal and judiciary decisions based on criteria such as penal codes, state laws and legal precedent is rapidly evolving. Predictions that legal case management software will be using AI techniques for case-based reasoning are increasingly prominent. AI Deep Learning Platforms used in legal practices will have capabilities to carry out client management and updates as well as legal service alerts management. Platforms will allow lawyers to monitor the progress of matters, resource commitments, and budget status in real time on a case-by-case basis. For lawyers, it may provide a gateway to access firm's prior workflows.

TheBusinessResearchCompany.com offers "Legal Software (Focus On Machine Learning) Global Market Report 2019" from its technology division of research reports. The legal software market was valued at about $0.23 billion in 2018, and is expected to grow to $0.68 billion at an annual growth rate of 30.9% through 2022. Increasing demand for intelligent business processes in law firms is driving the growth of the machine learning market. Intelligent business processes include adoption of artificial intelligence (AI) or machine learning in the business processes. AI is the development of system that has the ability to perform tasks requiring human intelligence.

Illinois, known as a national test bed for regulation, has struck again in an unlikely area; the use of artificial intelligence (AI) in job interviews. On 11 August, Democratic Governor JB Pritzker signed the Illinois Artificial Intelligence Video Interview Act (AIVI Act) into law. Illinois is now the first state to regulate the use of algorithms (interview bots) and other forms of AI to analyse applicants during video interviews from the beginning of 2020. AI in video interviews is a growing trend in hiring practices across the US. Companies rely on video interviews to reduce the stages of these processes to get a sense for candidates, who are asked to answer questions and present themselves just as they would in an in-person interview. Companies typically use the services of third-party platforms such as Hire Vue to conduct video interviews.

For most design projects and presentations, a common part is searching for photos of people. What designers strive for is quality images that are also diverse, free and legal. What's more, it often means spending precious time looking for the proper photo content all around the Web. Today it got much easier: new free resource Generated Photos has just been launched to help. It shares a diverse library of 100,000 incredibly realistic faces created by artificial intelligence.

Evidence is being gathered on U.S. big tech companies as the European Commission prepares for new leadership, The Wall Street Journal reported on Tuesday (Sept. Within 100 days of taking office on Nov. 1, President-elect Ursula von der Leyen and her team indicate there will be new laws governing artificial intelligence (AI) and how tech companies like Facebook use big data. Big tech investigations were already initiated by commissioner Margrethe Vestager and could end with multimillion-dollar fines. Facebook and Amazon deny wrongdoing. Alphabet's Google has already been hit with $9.4 billion in fines resulting from three separate EU investigations, and a fourth is underway.

The tool, called ImageNet Roulette, detects human faces in any uploaded photo and assign them labels using ImageNet, an academic training set with millions of pictures depicting almost anything imaginable, and WordNet, the corresponding text tags. As viral examples on Twitter have shown, the results of this process are more often than not completely useless--nonsensical at best and racist or otherwise offensive at worst. In some cases, it would label black men as "offenders" or "wrongdoers," while other times it would spit out racial slurs against Asians or outdated and offensive terms for black people. I might have a bad sense of humor but I don't think this particularly funny #imagenetroulette pic.twitter.com/RR578nhCOU The offensiveness was more or less the point, says co-creator, Kate Crawford, who is also a co-founder of New York University's AI Now Institute, which studies the social implications of artificial intelligence.

In one of our latest blog posts, we went through the first part of our hints and tips on outsourcing agreements and artificial intelligence, covering #1 Technological evolution and benchmarking clauses, #2 Liability and limitations, and #3 Know-how transfer, insourcing and supplier replacement. Below is the second part on: #4 Intellectual Property, #5 Data protection and #6 Cyber risk and Insurance. Where AI systems are employed in the outsourcing of processes there could be a tight interdependency between customer's data and supplier's AI technology processing such data. It follows that customer and supplier must accurately regulate the ownership of the IP rights in the relevant data and technologies within the scope of their relationship. What should be particularly considered by the contracting parties is the ownership of data, databases and of any other protectable item of both parties existing before entering into the contractual relationship (background IP). The parties should also regulate the ownership of IP rights on the customisations of the AI system and on the protectable results thereof generated during the performance of the agreement, if any.

A viral app which classifies selfies using its in-built artificial intelligence has been spewing out vile and racist labels and enraging users. Many took to social media to condemn the racist and offensive software but makers of the app, at Princeton University, say causing offence was exactly the intention. It was intended to be deliberately provocative to draw attention to the in-built prejudice and discrimination in many forms of machine learning. However, many users, it seems, didn't fully get the idea of the art project and were outraged at what their images were labelled as. One MailOnline staffer who tried the app was grotesquely dubbed a'rape suspect' from an innocuous picture.

Aditi works with BSR members across sectors to help them improve and advance their sustainability strategies. She leads BSR's global portfolio of work on women's empowerment across consulting, collaboration, and research. Aditi joined BSR after several years at Calvert Investment Management, a leading sustainable and responsible investment firm. There, she led strategic planning for Calvert's executive committee, and held various roles within the sustainability research team. Her portfolio included companies in the information and communications technology sector, and she led corporate engagements on the subjects of gender corporate governance and gender equality, including the advancement of the Calvert Women's Principles.