Young people's policy recommendations on algorithm fairness web sci17
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Conference presentation at the WebScience 2017 conference, June 26-28th 2017, Troy, NY, USA. This presentation summarizes the methodology and some preliminary results of the UnBias project Youth Juries activities, exploring young people's experiences, concerns and recommendations related to algorithms that mediate access to online information.
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Young people's policy recommendations on algorithm fairness web sci17
- 1. YOUNG PEOPLE'S POLICY RECOMMENDATIONS ON ALGORITHM FAIRNESS Elvira Perez Vallejos, Ansgar Koene, Virginia Portillo, Liz Dowthwaite & Monica Cano We b S c i ’ 1 7 , J u n e 2 6 - 2 8 , 2 0 1 7 , Tr o y, N Y, U S A
- 2. OUR RESEARCH Explores policy recommendations made by young people (YP) regarding algorithm fairness Brings YP to the front line of the debate on Children's Digital Rights Methodology: Youth Juries to promote learning through discussions Captures the deliberation process about the 'Right to Know' how algorithms govern and influence the Web and its users
- 3. The deliberation process captures opinion formation By Kate Green http://oer.horizon.ac.uk/5rights-youth-juries People are able to change their moral, political or behavioural preferences when they encounter compelling reasons and evidence to do so.
- 4. Young adults (16-17 years old) were invited to become part of a youth jury
- 5. To discover what shapes their thinking YOUTH JURIES How they came to define certain scenarios as problematic How they work together to discover solutions to these problems The extent to which they are prepared to change their minds in response to discussion with peers or exposure to new information How they translate their ideas into practical policy recommendations .
- 6. Working in equal partnership with YP Scenarios represent real issue and experiences that YP can relate to WORKING WITH YOUNG PEOPLE Scenarios are idiosyncratic, sensitive to cultural differences, a distinct point of time
- 7. SCENARIOS
- 8. •Two Juries - 26 participants (12F, 14M) mean age 16 •Thematic analysis looking at the deliberation process –Basic understanding about algorithms –Less aware about the constant presence of personalisation algorithms, their influence and scale –The distinction between 'search engine' and 'browser' was not clear Two Juries – 26 participants (mean age 16) Basic understanding of algorithms Less aware of personalisation algorithms, their influence & scale Distinction between ‘search engine’ and ‘browser’ was not clear
- 9. Concerns Security (over privacy) Privacy Settings and Location Lack of control over personal data sharing Online identity Lack of transparency Automatic decision making
- 10. Recommendations Plug-ins to control level of trackingMore control over personal data Control level of personalisation More accessible T&C Accessible information about how algorithms rule the Web Engaging educational programmes
- 11. Next Co-design scenarios for the next round of juries in Feb 2018 Continue informing governmental inquiries (e.g., Children and the Internet) Continue engaging YP on civic and political matters Design OER elvira.perez@nottingham.ac.uk @UnBias_algos www.horizon.ac.uk http://unbias.wp.horizon.ac.uk
Notas do Editor
- This piece of research explores the policy recommendations made by young people (YP) regarding algorithm fairness It brings YP to the front line of the debate on Children's Digital Rights Methodology: Youth Juries to promote learning through discussions Capture the deliberation process about the 'Right to Know' how algorithms govern and influence the Web and its users
- The deliberation process captures opinion formation. People are able to change their moral, political or behavioural preferences when they encounter compelling reasons and evidence to do so.
- Instead of taking sides in the debate, our research contextualise it by inviting young adults (16-17 years old) to become part of a youth jury.
- The aim of the youth juries is not simply to find out what YP think and feel about algorithm fairness but: to discover what shapes their thinking; how they came to define certain scenarios as problematic; how they attempt to work together to think through solutions to these problems; the extent to which they are prepared to change their minds in response to discussion with peers or exposure to new information; and how they translate their ideas into practical policy recommendations.
- Work in equal partnership with YP It ensures scenarios represent real issues and experiences that YP can relate to As a consequence, scenarios are idiosyncratic and sensitive to cultural differences, representing a distinct point in time, avoiding universalistic terms
- Scenarios should evolve as fast as tech Vocabulary and expressions Examples of scenarios
- Data from 2 juries with 26 participants (12F, 14M) mean age 16 Thematic analysis looking at the deliberation process Basic understanding about algorithms Less aware about the constant presence of personalisation algorithms, their influence and scale The distinction between 'search engine' and 'browser' was not clear
- Online identity Incognito, pseudonyms Security (over privacy) Privacy settings, location Concerns due to lack of transparency Personalisation OK for entertainment, not news Annoying Potential for censorship and bias Neutral tool but hidden purpose or intention Lack of control over personal data sharing Opposition to automatic decision-making always human on loop
- Plug-ins to add user friendly interfaces to control level of tracking More control over personal data What is being store, who, for how long? Control level of personalisation More accesible T&C Accesible information about how algorithms rule the Web Engaging educational programmes (including parents and IT teachers) This feasibility study has informed a pilot that has already delivered more than x juries involving x YP Next: improve the co-design of scenarios for the next round of juries in Feb 2018 Design another OER Continue informing governmental inquiries (e.g., Children and the Internet) Continue engaging YP on civic and political matters.
- This feasibility study has informed a pilot that has already delivered more than x juries involving x YP Next: improve the co-design of scenarios for the next round of juries in Feb 2018 Design another OER Continue informing governmental inquiries (e.g., Children and the Internet) Continue engaging YP on civic and political matters.