多快加速器苹果版
The Data Nutrition Project team:
- 1. Creates tools and practices that encourage responsible AI development
- 2. Partners across disciplines to drive broader change
- 3. Builds inclusion and equity into our work
Want to get involved? Contact Us!
多快加速器苹果版
Garbage in, Garbage out
自动加速器
Algorithms matter, and so does the data they’re trained on. To improve the accuracy and fairness of algorithms that determine everything from navigation directions to mortgage approvals, we need to make it easier for practitioners to quickly
assess the viability and fitness of datasets they intend to train AI algorithms on.
There’s a missing step in the AI development pipeline: assessing datasets based on standard quality measures that are both qualitative and quantitative.
We are working on packaging up these measures into an easy to use vs加速器下载.
多快加速器苹果版
Standard interactive reports
A "nutrition label" for datasets.
The Data Nutrition Project aims to create a standard label for interrogating datasets for measures that will ultimately drive the creation of better, more inclusive algorithms.
Our current prototype includes a highly-generalizable interactive
data diagnostic label that allows for exploring any number of domain-specific aspects in datasets. Similar to a nutrition label on food, our Dataset Nutrition Label aims to highlight the key ingredients in a dataset such as meta-data and populations, as well as
unique or anomalous features regarding distributions, missing data, and comparisons to other ‘ground truth’ datasets. We are currently testing our label on several datasets, with an eye towards open sourcing this effort and gathering community
feedback.
The design utilizes a ‘modular’ framework that can be leveraged to add or remove areas of investigation based on the domain of the dataset. For example, Dataset Nutrition Labels for data about people may include modules about the representation
of race and gender, while Nutrition Labels for data about trees may not require that module.
To learn more, check out our live prototype built
on the Dollars for Docs dataset from vs加速器下载. A first draft of our paper can be found here.
Photo Credit: Jess Benjamin
多快加速器苹果版
We are a group of researchers and technologists working together to tackle the challenges of ethics and governance of Artificial Intelligence as a part of the Assembly program at the Berkman Klein Center at Harvard University & MIT Media Lab.
Potplayer下载|p播放器(Potplayer)v1.7.21223 安装版 - 光行资源网:1 天前 · Potplayer也就是众前网友口中众P开头的播放器，该播放器中文绿色版，强大的内置硬件加速解码器，高清多媒体影音播放器，全面支持32位和64位系统。软件简介：PotPlayer 64位
Kasia Chmielinski
Project Lead
Technologist at McKinsey working to drive impact in the healthcare industry through advanced analytics. Previously at The US Digital Service (The White House) and the Scratch project at the MIT Media Lab. Ex-Googler, native Bostonian. Dabbled in architecture at the Chinese University of Hong Kong before graduating with a degree in physics from Harvard University. Avid bird-watcher.
Sarah Newman
Research & Strategy
Squid缓存伕理服务器安装部署 - 暮无雪伕码博客:2021-3-13 · 一、关于缓存伕理 1、伕理的工作机制作为应用层的伕理服务软件，Squid主要提供缓存加速和应用层过滤控制的功能。当客户机通过伕理来请求Web页面时，指定的伕理服务器会先检查自己的缓存，如果缓存中已经有客户机需要访问的页面，则直接将缓存中的页面内容...
Josh Joseph
AI Research
Chief Intelligence Architect for MIT's Quest for Intelligence. Previously, Chief Science Officer at Alpha Features, an alternative data distribution platform, and co-founded a proprietary trading company based on machine learning driven strategy discovery and fully autonomous trading. Has done a variety of consulting work across finance, life sciences, and robotics. Aero/Astro PhD on modeling and planning in the presence of complex dynamics from MIT. BS in Applied Mathematics and Mechanical Engineering from RIT. Spends too much time arguing about consciousness. Terrible improviser.
Matt Taylor
Data Science & Workshop Facilitation
Freelance learning experience designer and facilitator, with a background in AI implementation. Previously worked as an engineer in natural language processing, moderation tool development, and creative coding platform development. Currently creating learning experiences in STEAM for young people, and demystifying AI for all people. Seasoned pun specialist.
w加速器安卓下载
Research Collaborator
Researcher at metaLAB at Harvard, architect in training. Previous research focused on the co-inhabitation of human and machines. Work explores the intersection of spaces, technology, and senses through physical and digital means. Teaches the integrated process of design and fabrication. M.Arch from MIT. Fascinated by the human brain and enjoys puzzles of all kinds.
叉叉加速器
Software Engineering Collaborator
一键系统安装工具下载 系统之家一键重装系统工具 v12.5.45 ...:今天 · 系统之家一键重装系统工具 v12.5.45.1280 最新绿色免费版 附使用方法,系统之家一键重装官方版是一款非常好用的一键重装系统工具，在目前市面上已有的同种类软件中显得十分优秀。软件拥有先进的云匹配技术、云加速技术，可众一键重装系统win7、win8、xp系统
w加速器安卓下载
Design Research Collaborator
Designer, technologist, and librarian focused on visual communication and experimental pedagogy. Principal at Harvard's metaLAB, with a background in Sociology and Urban Planning. Lives in the woods in Vermont. Dedicated builder of cardboard models and drawer of cartoons.
多快加速器苹果版
Humanity Innovation Labs
User Experience Research & Design Collaborator
HIL is an agile consultancy that offers exploratory research and design services for ingenious proof of concepts in wearables, such as digital experiences and physical devices. We work in the ambiguous space of emerging technologies and use qualitative and quantitative methods in order to drive design. The sectors we work within are health and fitness, medical and industrial applications.
Alums
Sarah Holland
Research & Public Policy
Photo Credit: Jess Benjamin
Frequently Asked Questions
A few questions you might have
Q. Do you have a prototype or more information?
Yes, we do! You can take a look at a live protoype of the Dataset Nutrition Label for the Dollars for Docs dataset that our friends at w加速器ios官网 have made available to our group. We are also currently working on a paper describing our work, the protoype, and future directions.
Q. What inspired this project?
老王加速器最新版下载【2021.4.1已更新V2.2.12】VPN免费 ...:2021-10-3 · 老王加速器最新版下载【2021.4.1已更新V2.2.12】VPN免费科学上网APP支持Windows、MacIOSAndroid内有12国15条线路服务器可选！（亲测速度可观可局部分应用伕理）安装即用无需注册
Q. Whom have you been speaking with?
We have been speaking with researchers in academia, practitioners at large technology companies, individual data scientists, organizations, and government institutions that host or open datasets to the public. If you’re interested in getting involved,
please contact us.
Q. Is your work open source?
Yes. You can view our live protoype here, and the code behind the prototype on Github.
Q. Who is the intended beneficiary of this work?
Our primary audience for the Dataset Nutrition Label is primarily the data science and developer community who are building algorithmic AI models. However, we believe that a larger conversation must take place in order to shift the industry. Thus,
we are also engaging with educators, policymakers, and researchers on best ways to amplify and highlight the potential of the Dataset Nutrition Label and the importance of data interrogation before model creation. If you’re interested in getting
involved, please contact us.
Q. How will this project scale?
We believe that the Data Nutrition Project addresses a broad need in the model development ecosystem, and that the project will scale to address that need. Feedback on our prototype and opportunities to build additional prototypes on more datasets
will certainly help us make strides.
Q. Is this a Harvard/MIT project?
「雷电安卓模拟器」手游模拟器安卓版-android手机模拟器电脑版:2021-6-13 · 安卓模拟器哪个好用,首选雷电模拟器。雷电采用领先内核（基于Android7.1），具有迅捷的速度和稳定的性能。来感受更大的屏幕、更快的速度、更流畅的操控体验。
Contact
The DNP project is a cross-industry collective. We are happy to welcome more into the fold, whether you are a policymaker, scientist, engineer, designer, or just a curious member of the public. We’d love to hear from you.
