eprintid: 10150529
rev_number: 9
eprint_status: archive
userid: 699
dir: disk0/10/15/05/29
datestamp: 2023-03-13 20:29:06
lastmod: 2023-03-13 20:30:24
status_changed: 2023-03-13 20:29:06
type: report
metadata_visibility: show
sword_depositor: 699
creators_name: Polle, Rosaline
creators_name: Kazim, Emre
creators_name: Carvalho, Graca
creators_name: Koshiyama, Adriano
creators_name: Inness, Catherine
creators_name: Knight, Andrew
creators_name: Gorski, Caroline
creators_name: Barber, David
creators_name: Lomas, Elizabeth
creators_name: Yilmaz, Emine
creators_name: Thompson, Gary
creators_name: Ahamat, Ghazi
creators_name: Pavey, Giles
creators_name: Platts, Katie
creators_name: Szpruch, Lukasz
creators_name: Gregorovic, Miro
creators_name: Rodrigues, Miguel
creators_name: Ugwudike, Pamela
creators_name: Nachev, Parashkev
creators_name: Rai, Peter
creators_name: Treleaven, Philip
creators_name: Goebel, Randy
title: Towards AI Standards Whitepaper: Thought-leadership
in AI legal, ethical and safety
specifications through
experimentation
ispublished: pub
divisions: C01
divisions: F15
divisions: B03
divisions: UCL
note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: With the rapid adoption of algorithms
in business and society there is a growing concern
to safeguard the public interest. Researchers,
policy-makers and industry sharing this view convened
to collectively identify future areas of focus in order to
advance AI standards - in particular the acute need
to ensure standard suggestions are practical and
empirically informed. This discussion occurred in
the context of the creation of a lab at UCL with these
concerns in mind (currently dubbed as UCL The
Algorithms Standards and Technology Lab).
Via a series of panels, with the main stakeholders,
three themes emerged, namely (i) Building public trust,
(ii) Accountability and Operationalisation,
and (iii) Experimentation. In order to forward
the themes, lab activities will fall under three
streams - experimentation, community building
and communication. The Lab’s mission is to
provide thought-leadership in AI standards through
experimentation.
date: 2021-11-11
date_type: published
publisher: UCL Standards Lab Joint
official_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3935987
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
commissioning_body: Algorithmic Standards and Technology Lab
verified: verified_manual
elements_id: 1962572
confidential: false
lyricists_name: Lomas, Elizabeth
lyricists_id: EJLOM26
actors_name: Lomas, Elizabeth
actors_id: EJLOM26
actors_role: owner
full_text_status: public
place_of_pub: London, UK
pages: 28
citation:             Polle, Rosaline;    Kazim, Emre;    Carvalho, Graca;    Koshiyama, Adriano;    Inness, Catherine;    Knight, Andrew;    Gorski, Caroline;                                                              + view all  <#>        Polle, Rosaline;  Kazim, Emre;  Carvalho, Graca;  Koshiyama, Adriano;  Inness, Catherine;  Knight, Andrew;  Gorski, Caroline;  Barber, David;  Lomas, Elizabeth;  Yilmaz, Emine;  Thompson, Gary;  Ahamat, Ghazi;  Pavey, Giles;  Platts, Katie;  Szpruch, Lukasz;  Gregorovic, Miro;  Rodrigues, Miguel;  Ugwudike, Pamela;  Nachev, Parashkev;  Rai, Peter;  Treleaven, Philip;  Goebel, Randy;   - view fewer  <#>     (2021)    Towards AI Standards Whitepaper: Thought-leadership in AI legal, ethical and safety specifications through experimentation.                    UCL Standards Lab Joint: London, UK.       Green open access   
 
document_url: https://discovery-pp.ucl.ac.uk/id/eprint/10150529/1/Towards%20AI%20Standards%20-%20whitepaper.pdf