Law
Uber drivers have completed more than 10 billion trips
Uber announced today that on June 10th, 173 trips and deliveries that began simultaneously pushed the company past a record of 10 billion completed trips. Uber hit its 10 billionth trip just over a year after it completed its five billionth and the company said that the 173 trips occurred in more than 21 countries and five continents. The year Uber spent doubling its trip count was also marred by a lot of issues, some of which continue to plague the company. It has been sued and investigated for gender and race discrimination, revealed a data breach that it at one point worked to hide, was sued over the data breach, issued layoffs and replaced its CEO. It has also dealt with continued scrutiny into how it treats and pays drivers, a fatal crash involving one of its self-driving cars, sexual assault accusations against its drivers and the Waymo lawsuit that the company settled in February.
Scientists train an AI to digitally add BIKINIS onto nude photographs
An AI that scrawls bikinis over nude photographs of women has been developed by scientists to block racy online images. The system, built at a Catholic institute in Brazil, automatically seeks out lewd pictures and digitally adds swimwear to speed up the process of censorsing images. Researchers warned that while the AI was designed to be used for good, cyber criminals could one day reverse the process to erase bikinis from people's photos. An AI that scrawls bikinis over nude photographs of women has been developed by scientists to block racy online images. Pictured are some of the AI's successful (centre row) and unsuccessful (bottom row) attempts to censor nude images (top line) The AI was trained by software engineers at the Pontifical Catholic University of Rio Grande do Sul using 2,000 images of women.
The Future with Artificial Intelligence: Even technology is racist - theGrio
It's a well-known fact that humans are prone to be racist, but as artificial intelligence evolves, it has become evident that technology is racist too. Recent studies have found flaws in technological "advancements" that disadvantage people of a darker hue. For example, a ProPublica study found that software used to determine prison sentences for criminals (ostensibly to eradicate human bias) is biased against Black people. Similarly, an MIT Media Lab study revealed that certain facial recognition software can't seem to identify women of color. Technology like that and other artificial intelligence innovations rely on algorithms.
Transcript: Transformers โ Artificial Intelligence
My name is Kris Coratti. Thank you for joining us on this very rainy morning. I'm glad you all made it out. We are going to have a fascinating series of discussion this morning on artificial intelligence. This is the latest in our ongoing event series that we call "Transformers." And our speakers this morning are going to explore the regulatory questions around this technology. They going to look at how AI is reshaping the way we live and work. And they're going to discuss how to make sure this technology is used responsibly in the future. Before we begin, I just want to quickly thank our presenting sponsor for this even, Software.org, And so now I'd like to go ahead and welcome to the stage The Washington Post's Tony Romm and Senators Maria Cantwell and Todd Young. And for those who don't know, Senator Cantwell is a Democrat from Washington State. Both are members of a Senate commerce committee which touches on artificial intelligence and many tech issues that we'll talk about today.
Behavioral and physiological biometrics โ a marriage made in heaven
This is a guest post by Zia Hayat, founder and CEO of Callsign. Ever since Apple introduced the Touch ID fingerprint scanner to the iPhone 5S in September 2013, biometrics as a means of identifying consumers has swiftly moved from the realms of science fiction to science fact. Now, using a person's physiological attributes as a means of identification is moving beyond the fingerprint, as Samsung's Note 7 is capable of iris scanning and users of Apple's iPhone X are now able to open their phone with merely a glance. But following recent data breaches and a landmark court case in Illinois, physiological biometrics find themselves on the backfoot, with behavioral biometrics now offering a more robust and secure alternative. Traditional physiological biometrics aim to replace "things that you know" โ passwords, PINs, memorable information, etc. โ with "things that you are".
Artificial Intelligence: Just Plain Smart Marketing - Legal Talk Network
More clients for less ad spend seems like a distant ideal, but artificial intelligence (AI) may be the tool lawyers need to get their ads in front of the right people. In this episode of The Un-Billable Hour, host Christopher Anderson talks to Keith Dyer about how law firms can use AI to improve their marketing efforts. They discuss the three different types of AI (robotics, natural language processing, and machine learning), their capabilities, and how they could impact the future of legal marketing. Keith Dyer started Market4Law to help law firms leverage digital technology and in particular artificial intelligence technology to grow their practices.
Schools, fearing threats, look to facial recognition technology for additional security
In this July 10, 2018 photo, a camera with facial recognition capabilities hangs from a wall while being installed at Lockport High School in Lockport, N.Y. The surveillance system that has kept watch on students entering Lockport schools for over a decade is getting a novel upgrade. Facial recognition technology soon will check each face against a database of expelled students, sex offenders and other possible troublemakers. It could be the start of a trend as more schools fearful of shootings consider adopting the technology, which has been gaining ground on city streets and in some businesses and government agencies. Just last week, Seattle-based digital software company RealNetworks began offering a free version of its facial recognition system to schools nationwide.
Universal Basic Income Is Not a Magic Bullet
On this week's episode of my podcast, I Have to Ask, I spoke to Annie Lowrey, a contributing editor at the Atlantic and the author of the new book Give People Money: How a Universal Basic Income Would End Poverty, Revolutionize Work, and Remake the World. It's about universal basic income--the idea that the government would give all its citizens checks every month. Versions of this proposal have caught on with people on the left as well as tech leaders in Silicon Valley and even some hardcore libertarians. Lowrey has written for many years now about economics, but Give People Money is both a reported work--she travels to Kenya, South Korea, and India to view their economic experiments--and a policy brief on what she believes can help alleviate some of the social and political discontent that has arisen from economic change and dislocation. Below is an edited excerpt from the show. In it, we discuss the benefits and drawbacks of UBI, whether or not we should be skeptical that so many Silicon Valley titans have embraced the idea, and how to make the safety net less vulnerable to political attacks.
As big data starts boosting AI growth, here are some recommended guidelines for India
With the varying degrees of privacy norms of each country, there is a significant impact on the amount of big data collected and utilised by private and public entities with regard to AI innovations. In China, low safeguards on personal data has resulted in an increase in AI innovations. Whereas in Europe, with the enforcement of the GDPR, there are increased privacy and security guidelines resulting in a negative impact on the growth of the AI sector. While acknowledging the need to intensify AI actions, India requires tailored guidelines which is a blend of international principles along with existing local privacy standards to achieve to an effective and responsible AI ecosystem. The curated blend of AI strategies is mandatory as India is currently investing in AI for its defence, legal and financial sectors.
As big data starts boosting AI growth, here are some recommended guidelines for India
With the varying degrees of privacy norms of each country, there is a significant impact on the amount of big data collected and utilised by private and public entities with regard to AI innovations. In China, low safeguards on personal data has resulted in an increase in AI innovations. Whereas in Europe, with the enforcement of the GDPR, there are increased privacy and security guidelines resulting in a negative impact on the growth of the AI sector. While acknowledging the need to intensify AI actions, India requires tailored guidelines which is a blend of international principles along with existing local privacy standards to achieve to an effective and responsible AI ecosystem. The curated blend of AI strategies is mandatory as India is currently investing in AI for its defence, legal and financial sectors.