At the recent Google Cloud Next Conference, Google announced a new beta machine learning service, called Document Understanding AI. The service targets Enterprise Content Management (ECM) workloads by allowing customers to organize, classify and extract key value pairs from unstructured content, in the enterprise, using Artificial Intelligence (AI) and Machine Learning (ML). Gartner and Forbes estimate that 80% of enterprise data is unstructured and 70% of enterprise data is free-form text like emails, written documents and comments. With the amount of data in enterprise organizations, Google perceives an opportunity to use AI and ML to address enterprise content challenges. Many enterprises see the value in applying AI and machine learning to their business challenges, but not all have the necessary resources to do it.
In our ongoing speculative design project entitled Topos, we propose a public-facing, tangible user interface (TUI) that makes legible and accessible the AI systems embedded in near-future urban landscapes. By imagining AI as a public service, Topos interrogates the creation of public trust between people and AI systems through the medium of physical structures in public space. We propose that urban landscapes will contain “AI-parks” containing trees of knowledge that physicalize machine learning (ML) pathways that take on or augment the responsibilities of city departments and bureaus. The trees of knowledge are TUIs where humans can read and revise the inputs that civic AI systems learn from—an interaction that we call “pruning”. Topos suggests that the interactions between AI systems and humans should be embodied and spatial in nature, so as to highlight the ways in which civic-oriented AI systems will directly affect the lived environments and multiple infrastructures of the urban landscape.
Melissa Mattern is a psychic to the psychics, and she's also the mother of teenage daughters, and the wife of a curious husband. "I'm the only one who does the laundry," says the Oregon resident. "So my secret hiding spot is the bottom of the clothes hamper. I also keep a laundry basket on top of the dryer where I hide presents under a pile of things no one would be interested in messing with." Mattern also admits to using these spots when she splurges on new shoes for herself or wants to savor the last box of Girl Scout cookies.
In this April 10, 2019, file photo, Regina Wells, foreground right, a forensic laboratories supervisor with the Kentucky State Police, demonstrates new crime-fighting technology in Frankfort, Ky. AUSTIN, Texas – With a name that sounds like futuristic fiction, Rapid DNA machines roughly the size of an office printer have helped solve rape cases in Kentucky, identified California wildfire victims and verified family connections of migrants at the U.S.-Mexico border. Now a state board in Texas has asked a growing government provider of the DNA equipment used in those high-profile projects to halt work amid concerns of potentially jeopardized criminal cases, according to a letter obtained by The Associated Press. Texas is not the only place where the company, Longmont, Colorado-based ANDE, has come under scrutiny. Utah officials say they will likely no longer use Rapid DNA machines for sexual assault investigations, citing a higher degree of technical analysis required, but one case raised concerns about swabs taken from a victim.
Schools today look almost nothing like they did 50 years ago. According to Jonathan Rochelle, head of product management for Google Apps for Education, the next 50 years might see even crazier advances. By 2066, Rochelle says, schools are poised to become highly collaborative spaces, thanks to the advent of virtual and augmented reality. Instead of needing to meet in the same physical space, kids could work on long-term projects remotely and interact through online platforms. Rochelle has a unique perspective on the value of teamwork: In 2006, he co-founded the Google Docs suite.