artificial_intelligence   2927

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Google is using AI to help The New York Times digitize 5 million historical photos - The Verge
That’s why the company has hired Google, which will store scans of the hand- and type-written notes attached to each image, and could later use its machine vision smarts to categorize the semantic information they contain (linking data like locations and dates). Google says the Times will also be able to use its object recognition tools to extract even more information from the photos, making them easier to catalog and resurface for future use.
New_York_Times  digitisation  google  artificial_intelligence  image_recognition 
2 days ago by stacker
JPMorgan Invests in Startup Tech That Analyzes Encrypted Data - CIO Journal. - WSJ
By Sara Castellanos
Nov 13, 2018

JPMorgan Chase & Co. has invested in a startup whose technology can analyze an encrypted dataset without revealing its contents, which could be “materially useful” for the company and its clients, said Samik Chandarana, head of data analytics for the Corporate and Investment Bank division.

The banking giant recently led a $10 million Series A funding round in the data security and analytics startup, Inpher Inc., headquartered in New York and Switzerland. JPMorgan could use the ‘secret computing’ technology to analyze a customer’s proprietary data on their behalf, using artificial intelligence algorithms without sacrificing privacy.......One of the technological methods Inpher uses, called fully homomorphic encryption, allows for computations to be conducted on encrypted data, said Jordan Brandt, co-founder and CEO of the company. It’s the ability to perform analytics and machine learning on cipher text, which is plain, readable text that has been encrypted using a specific algorithm, or a cipher, so that it becomes unintelligible.

Analyzing encrypted information without revealing any secret information is known as zero-knowledge computing and it means that organizations could share confidential information to gather more useful insights on larger datasets.
algorithms  artificial_intelligence  encryption  JPMorgan  start_ups 
4 days ago by jerryking
Philosophy — Feminist.AI
Design with and for unheard voices in AI creation.

We must be invited to a location to participate.

All knowledge systems and skills are equally honored and valued.

Acknowledge and own privilege.  

We want multiple entry points for involvement, so we can pull from different knowledge systems for our design and development.

The AI project/research can be a social response or technical making.

We would like to revisit every step of our process with every new project.

The physical (hardware, interaction, experience) and the digital are key elements in our AI Design. The material and purpose are just as important as the data and model.

We attribute everything (people who have come before us, original parallel research).

We encourage our community to move beyond comparing AI to the human brain, and to think about alternative systems to design with AI.

We probe the knowledge assumptions in AI systems, and deliberately deconstruct existing approaches to the AI creation (from the data, to the rulesets, to the output).

We work to contribute to and community source our own data, to control our own intelligent futures.
artificial_intelligence  pedagogy 
6 days ago by shannon_mattern
About — Posthuman Feminist AI: Bits & Bytes
(Posthuman) Feminist AI Projects: Bits & Bytes Exploring embodiment in AI design, while re-imagining AI systems through collaborative making.

With the rise of consumer facing systems, AI, has the potential to combat or spread new forms of discrimination, through fundamental choices in representation, design and development. Bits and Bytes emerged from Feminist Posthuman AI Art Projects and engages with communities across Los Angeles to fight discrimination in AI through community workshops held across Los Angeles. 

Philosophy: Our approach is to collaboratively design with voices who have not been heard in Artificial Intelligence creation. Our focus is to include embodiment in AI design, incorporating sensory, cultural and emotional considerations. All are welcome to join at any point in the process - tech experience is not necessary. All knowledge is equally valued. 

What are we doing? We have multiple AI Art and Design Projects, but our primary project is looking at ways we can use intelligent interfaces for collaborative protest and civic engagement. We call this project XR Intelligent Protests. In the first part of the Intelligent Protest project, we used an an intelligent interface to protest with face movements instead of voices. In the second phase of the project, we implement the face protest into physical, virtual and augmented environments.

Challenges in this space.  Through our making, we consider questions like:

How can we positively inform AI design by recognizing cultural and social assumptions and biases that lead to discrimination?
How can we ensure that our approach to feminism is both transnational and posthuman?
As we have multiple selves across physical, web, virtual and augmented realities, how can we think about designing in a new way? Using one behavior across realities?
artificial_intelligence  pedagogy 
6 days ago by shannon_mattern
In the Age of A.I., Is Seeing Still Believing? | The New Yorker
On the growing power of digital image synthesis, which is increasingly convincing. Really interesting stuff in here about applying the concept of "texture" to other areas, and the ways in which human predictability makes plausible images easier to synthesize.
artificial_intelligence  technology  computers  images  science 
6 days ago by johnmfrench
lindsay poirier
Her research focuses on digital expertise, data cultures, and the theorization of digital infrastructure. More specifically, Poirier studies the design of “semiotic infrastructures” – or digital infrastructures that encode data’s syntax, semantics, and relationships to other data.  She examines how the designers of semiotic infrastructure learn to bring diverse language ideologies to their work and how such language ideologies implicate how knowledge gets ordered in information systems. She has conducted historical research on approaches to digital knowledge representation in the artificial intelligence community and has conducted fieldwork within both the Semantic Web community and a community of practitioners building data standards for the human services.
data  algorithms  classification  artificial_intelligence  design_anthro 
7 days ago by shannon_mattern
A People's Guide to AI | Allied Media Projects
Systems that use artificial intelligence are quietly becoming present in more and more parts of our lives. But what does this technology really mean for people, both right now and in the future?

Written in 2018 by Mimi Onuoha and Mother Cyborg (Diana Nucera), A People’s Guide to AI is a comprehensive beginner's guide to understanding AI and other data-driven tech. The guide uses a popular education approach to explore and explain AI-based technologies so that everyone—from youth to seniors, and from non-techies to experts—has the chance to think critically about the kinds of futures automated technologies can bring.

The mission of A People’s Guide to AI is to open up conversation around AI by demystifying, situating, and shifting the narrative about what types of use cases AI can have for everyday people.


Open Society Foundations
9 days ago by shannon_mattern

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