#	Pagina
attuale pagina	/open-h2020/projects/224800/index.html
-1	/gislocal/risorsa/200/index.html
-2	/open-h2020/per-topic/chestnut/list/index.html
-3	/open-h2020/projects/195156/index.html
-4	/open-dormire/marche/044073/index.html

Opendata, web and dolomites

NoBIAS SIGNED

Artificial Intelligence without Bias

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

NoBIAS project word cloud

Explore the words cloud of the NoBIAS project. It provides you a very rough idea of what is the project "NoBIAS" about.

software finance esrs machine denied turn contravene biases 15 consultancy news good science treating solutions human ethical miss medical practical capacity telecommunication cohort bias document job government law computer collected variety ai unfairly stages transparency fairness intelligence embed anytime acquire individuals artificial provenance businesses training entailing social nowadays compliance expertise counter chances decisions arise risks soft learning decision move performance broadly media automatically interdisciplinary train disciplinary stage underperform impacts sectors treatment employed society head marketing everywhere data industry leadership rights start principles worse understand academia algorithms reaching people innovation deployment credit optimized core skills predictive everyone give nobias benefiting considerations

Project "NoBIAS" data sheet

The following table provides information about the project.

Coordinator	GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER Organization address address: Welfengarten 1 city: HANNOVER postcode: 30167 website: www.uni-hannover.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Total cost	3˙994˙775 €
EC max contribution	3˙994˙775 € (100%)
Programme	1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
Code Call	H2020-MSCA-ITN-2019
Funding Scheme	MSCA-ITN-ETN
Starting year	2020
Duration (year-month-day)	from 2020-01-01 to 2023-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER Organization address address: Welfengarten 1 city: HANNOVER postcode: 30167 website: www.uni-hannover.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (HANNOVER)	coordinator	758˙365.00
2	UNIVERSITY OF SOUTHAMPTON UNIVERSITY OF SOUTHAMPTON Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ website: http://www.southampton.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (SOUTHAMPTON)	participant	909˙517.00
3	UNIVERSITA DI PISA UNIVERSITA DI PISA Organization address address: LUNGARNO PACINOTTI 43/44 city: PISA postcode: 56126 website: www.unipi.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (PISA)	participant	522˙999.00
4	GESIS-LEIBNIZ-INSTITUT FUR SOZIALWISSENSCHAFTEN EV GESIS-LEIBNIZ-INSTITUT FUR SOZIALWISSENSCHAFTEN EV Organization address address: B2 1 city: MANNHEIM postcode: 68159 website: www.gesis.org contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (MANNHEIM)	participant	505˙576.00
5	ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS Organization address address: CHARILAOU THERMI ROAD 6 KM city: THERMI THESSALONIKI postcode: 57001 website: www.certh.gr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EL (THERMI THESSALONIKI)	participant	486˙035.00
6	THE OPEN UNIVERSITY THE OPEN UNIVERSITY Organization address address: WALTON HALL city: MILTON KEYNES postcode: MK7 6AA website: www.open.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (MILTON KEYNES)	participant	303˙172.00
7	KATHOLIEKE UNIVERSITEIT LEUVEN KATHOLIEKE UNIVERSITEIT LEUVEN Organization address address: OUDE MARKT 13 city: LEUVEN postcode: 3000 website: www.kuleuven.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	BE (LEUVEN)	participant	256˙320.00
8	SCHUFA HOLDING AG SCHUFA HOLDING AG Organization address address: KORMORANWEG 5 city: WIESBADEN postcode: 65201 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (WIESBADEN)	participant	252˙788.00

Map

Project objective

Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and anytime entailing risks, such as being denied a credit, a job, a medical treatment, or specific news. Businesses might miss chances, because biases make AI-driven decisions underperform; much worse, they may contravene human rights when treating people unfairly. Bias may arise at all stages of AI-based decision making processes: (i) when data is collected, (ii) when algorithms turn data into decision making capacity, or (iii) when results of decision making are used in applications. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in the training, design and deployment of AI algorithms to ensure social good while still benefiting from the potential of AI. NoBIAS will develop novel methods for AI-based decision making without bias by taking into account ethical and legal considerations in the design of technical solutions. The core objectives of NoBIAS are to understand legal, social and technical challenges of bias in AI-decision making, to counter them by developing fairness-aware algorithms, to automatically explain AI results, and to document the overall process for data provenance and transparency. We will train a cohort of 15 ESRs (Early-Stage Researchers) to address problems with bias through multi-disciplinary training and research in computer science, data science, machine learning, law and social science. ESRs will acquire practical expertise in a variety of sectors from telecommunication, finance, marketing, media, software, and legal consultancy to broadly foster legal compliance and innovation. Technical, interdisciplinary and soft-skills will give ESRs a head start towards future leadership in industry, academia, or government.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NOBIAS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "NOBIAS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.1.)

HEARTLAND (2019)

Health, Environment, Agriculture, Rural development: Training network for LAND management

Read More

ENHAnCE (2020)

European training Network in intelligent prognostics and Health mAnagement in Composite structurEs

Read More

HeatNMof (2020)

Heating triggered drug release from nanometric inorganic-metal organic framework composites

Read More