The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good
The unprecedented availability of large-scale human behavioraldata is profoundly changing the world we live in. Researchers, companies,governments, financial institutions, non-governmental organizations and alsocitizen groups are actively experimenting, innovating and adapting algorith-mic decision-m...
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| Další autoři: | , , , |
| Médium: | article |
| Jazyk: | angličtina |
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2016
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| Témata: | |
| On-line přístup: | https://hdl.handle.net/20.500.12381/316 |
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Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
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| _version_ | 1868890043040399360 |
|---|---|
| author | Lepri, Bruno |
| author2 | Staiano, Jacopo Sangokoya, David Letouzé, Emmanuel Francis Oliver, Nuria |
| author2_role | author author author author |
| author_browse | Lepri, Bruno Letouzé, Emmanuel Francis Oliver, Nuria Sangokoya, David Staiano, Jacopo |
| author_facet | Lepri, Bruno Staiano, Jacopo Sangokoya, David Letouzé, Emmanuel Francis Oliver, Nuria |
| author_role | author |
| collection | Ceibal en REDI |
| dc.creator.none.fl_str_mv | Lepri, Bruno Staiano, Jacopo Sangokoya, David Letouzé, Emmanuel Francis Oliver, Nuria |
| dc.date.none.fl_str_mv | 2016-12-02 2018-11-26T14:00:59Z 2018-11-26T14:00:59Z 2020-10-28T19:25:33Z 2020-10-28T19:25:33Z 2021-09-07T18:01:25Z 2021-09-07T18:01:25Z |
| dc.format.none.fl_str_mv | pp.3-24 |
| dc.identifier.none.fl_str_mv | Lepri, B., Staiano, J., Sangokoya, D., Letouzé, E., Oliver, N. (2017). The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good. 3-24. 10.1007/978-3-319-54024-5_1. Website https://www.researchgate.net/publication/317139233_The_Tyranny_of_Data_The_Bright_an d_Dark_Sides_of_Data-Driven_Decision-Making_for_Social_Good (accessed November 26th, 2018). https://hdl.handle.net/20.500.12381/316 10.1007/978-3-319-54024-5_1 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Research Gate |
| dc.rights.none.fl_str_mv | Acceso abierto info:eu-repo/semantics/openAccess Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND) |
| dc.source.none.fl_str_mv | reponame:Ceibal en REDI instname:Fundación Ceibal instacron:Fundación Ceibal |
| dc.subject.none.fl_str_mv | Big Data Algorithms Transparency Accountability Ciencias Sociales Ciencias de la Educación Análisis de datos Procesamiento de datos Ética Tecnología |
| dc.title.none.fl_str_mv | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good |
| dc.type.none.fl_str_mv | Artículo info:eu-repo/semantics/article Publicado info:eu-repo/semantics/publishedVersion |
| description | The unprecedented availability of large-scale human behavioraldata is profoundly changing the world we live in. Researchers, companies,governments, financial institutions, non-governmental organizations and alsocitizen groups are actively experimenting, innovating and adapting algorith-mic decision-making tools to understand global patterns of human behaviorand provide decision support to tackle problems of societal importance. In thischapter, we focus our attention on social good decision-making algorithms,that is algorithms strongly influencing decision-making and resource opti-mization of public goods, such as public health, safety, access to finance andfair employment. Through an analysis of specific use cases and approaches,we highlight both the positive opportunities that are created through data-driven algorithmic decision-making, and the potential negative consequencesthat practitioners should be aware of and address in order to truly realizethe potential of this emergent field. We elaborate on the need for these algo-rithms to provide transparency and accountability, preserve privacy and betested and evaluated in context, by means of living lab approaches involvingcitizens. Finally, we turn to the requirements which would make it possible toleverage the predictive power of data-driven human behavior analysis whileensuring transparency, accountability, and civic participation. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | anni_4dc900f6087f7468f53a5dc7c255d4e7 |
| identifier_str_mv | Lepri, B., Staiano, J., Sangokoya, D., Letouzé, E., Oliver, N. (2017). The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good. 3-24. 10.1007/978-3-319-54024-5_1. Website https://www.researchgate.net/publication/317139233_The_Tyranny_of_Data_The_Bright_an d_Dark_Sides_of_Data-Driven_Decision-Making_for_Social_Good (accessed November 26th, 2018). 10.1007/978-3-319-54024-5_1 |
| instacron_str | Fundación Ceibal |
| institution | Fundación Ceibal |
| instname_str | Fundación Ceibal |
| language | eng |
| network_acronym_str | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:redi.anii.org.uy:20.500.12381/316 |
| publishDate | 2016 |
| publishDateSort | 2016 |
| publisher.none.fl_str_mv | Research Gate |
| reponame_str | Ceibal en REDI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Acceso abierto Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND) |
| spelling | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social GoodLepri, BrunoStaiano, JacopoSangokoya, DavidLetouzé, Emmanuel FrancisOliver, NuriaBig DataAlgorithmsTransparencyAccountabilityCiencias SocialesCiencias de la EducaciónAnálisis de datosProcesamiento de datosÉticaTecnologíaThe unprecedented availability of large-scale human behavioraldata is profoundly changing the world we live in. Researchers, companies,governments, financial institutions, non-governmental organizations and alsocitizen groups are actively experimenting, innovating and adapting algorith-mic decision-making tools to understand global patterns of human behaviorand provide decision support to tackle problems of societal importance. In thischapter, we focus our attention on social good decision-making algorithms,that is algorithms strongly influencing decision-making and resource opti-mization of public goods, such as public health, safety, access to finance andfair employment. Through an analysis of specific use cases and approaches,we highlight both the positive opportunities that are created through data-driven algorithmic decision-making, and the potential negative consequencesthat practitioners should be aware of and address in order to truly realizethe potential of this emergent field. We elaborate on the need for these algo-rithms to provide transparency and accountability, preserve privacy and betested and evaluated in context, by means of living lab approaches involvingcitizens. Finally, we turn to the requirements which would make it possible toleverage the predictive power of data-driven human behavior analysis whileensuring transparency, accountability, and civic participation.Research Gate2018-11-26T14:00:59Z2020-10-28T19:25:33Z2021-09-07T18:01:25Z2018-11-26T14:00:59Z2020-10-28T19:25:33Z2021-09-07T18:01:25Z2016-12-02Artículoinfo:eu-repo/semantics/articlePublicadoinfo:eu-repo/semantics/publishedVersionpp.3-24Lepri, B., Staiano, J., Sangokoya, D., Letouzé, E., Oliver, N. (2017). The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good. 3-24. 10.1007/978-3-319-54024-5_1. Website https://www.researchgate.net/publication/317139233_The_Tyranny_of_Data_The_Bright_an d_Dark_Sides_of_Data-Driven_Decision-Making_for_Social_Good (accessed November 26th, 2018).https://hdl.handle.net/20.500.12381/31610.1007/978-3-319-54024-5_1reponame:Ceibal en REDIinstname:Fundación Ceibalinstacron:Fundación CeibalengAcceso abiertoinfo:eu-repo/semantics/openAccessReconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)oai:redi.anii.org.uy:20.500.12381/3162026-06-16T05:15:35Z |
| spellingShingle | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good Lepri, Bruno Big Data Algorithms Transparency Accountability Ciencias Sociales Ciencias de la Educación Análisis de datos Procesamiento de datos Ética Tecnología |
| status_str | publishedVersion |
| title | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good |
| title_full | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good |
| title_fullStr | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good |
| title_full_unstemmed | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good |
| title_short | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good |
| title_sort | The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good |
| topic | Big Data Algorithms Transparency Accountability Ciencias Sociales Ciencias de la Educación Análisis de datos Procesamiento de datos Ética Tecnología |
| url | https://hdl.handle.net/20.500.12381/316 |