A recent report from the BBC covers one instance of the ever-growing use of algorithms for social purposes and helps us to illustrate some key ethical concerns underpinning the UnBias project.
This workshop is by application or invitation only. Limited places.
If you are interested in attending, please see information below.
Deadline : 30 October 2016
The Ethics of Using Machine Learning in Professional Practice: Perspectives from Journalism, Law and Medicine.
This workshop aims to bring together practitioners from law, journalism and bio-medicine together with social scientists and computer scientists to explore the ethical questions raised by the growing use of machine learning in processes of information discovery, analysis and decision-making.
Recent examples include the deployment of machine learning methods in the development of a proprietary digital tool used to generate risk assessments which inform judges in US parole hearings, the use of bots in international newsrooms to support editors and journalists’ selection of stories for publication and Google DeepMind’s partnership with the NHS to build an app for medical practitioners treating kidney disease. Are such cases indicative of a wider trend towards the delegation of decision-making to autonomous computer systems in areas of activity which were previously the preserve of human experts?
Presentations and discussions at the symposium will explore the implications for ethics and governance of integrating machine learning and other algorithms into wider computational systems and workflows and how this process relates to evolving social processes of decision-making and accountability in professional practice in law, journalism and bio-medicine.
This workshop is by application or invitation only and discussions will be conducted under Chatham House rules. Researchers or professional practitioners interested in attending should apply by email to Dr Anne Alexander (firstname.lastname@example.org) before 30 October with a short statement explaining why they would like to participate in the event. The Ethics of Big Data group also welcomes proposals for short presentations. Potential presenters should include an abstract of their proposed contribution.
Part of the Ethics of Big Data Research Group, series
Organised by Ethics of Big Data Research Group in collaboration with The Work Foundation and InformAll.
Legal training half day seminar on internet law organized by the Belfast Solicitors’ Association (“BSA”), in cooperation with the Bar of Northern Ireland.
12.30 – 1pm LUNCH
WELCOME NOTE: @ 1PM (3 mins)
Chairman Bar Council Liam McCollum QC / Chairman BSA Olivia O’Kane (5 mins)
- KEY NOTE: (30- 45 mins?)
Honourable Mr Justice Stephens – INSERT TALK TITLE
- INSERT TALK TITLE (15-20)
Olivia O’Kane, Solicitor
- Defamation Practice-Some Reminiscences and Lessons Learnt (15-20)
David Ringland QC
- 2.40pm REFRESHMENTS
- Responsibility and accountability in algorithm mediated services – a look at regulatory and policy concerns (30 mins)
Dr. Ansgar Koene, Senior Research Fellow: Digital Economy Research Institute, University of Nottingham
- Privacy – A poor man’s defamation law? (15 – 20mins)
Ronan Lavery QC
- Computer Prefetch, Shellbags, and Mounted devices – what information can they glean for you? (30 mins)
Paul Birch, BDO Computer Forensics
4 PM DRINKS & NETWORKING
24 November 2016, 0900-1700 GMT.
Wellcome Collection, 183 Euston Road, London, NW1 2BE, UK
The SATORI project will organise a one-day mutual-learning workshop on 24 November 2016, at the Wellcome Collection, London. At this workshop, SATORI partners will present the project’s preliminary findings, and discuss, particularly with organisations engaged in ethics assessment and related practices (e.g. ethics review, institutional review, corporate social responsibility in relation to R&I), how to move forward. The workshop will address: the institutional landscape for ethics assessment and challenges for research ethics committees in ethics assessment; SATORI proposals for ethics assessment procedures and ethical impact assessment, and how to connect it to research and innovation. The workshop will include a limited number of participants, i.e. around 20, to allow for focused discussion.
Who should attend: research ethics committee members.
A lot has been said about algorithms working as gatekeepers and making decisions on our behalf, often without us noticing it. I can surely find an example in my daily life where I do notice it and benefit from it. This happens when I use the “Discover Weekly” Spotify play-list. By comparing my listening habits to that of other users with similar but not identical choices, Spotify allows information on the fringes to be shared. It is thus “tailored” to my music taste, and it is incredibly accurate in predicting things I would like. Besides, it lets me discover new music and bands and in many occasions can also take me back in time with some tunes I have probably not listened to for a long time.