How Big Tech funds the debate on AI ethics
The Silicon Valley giants are spending billions developing AI,
but they are also funding the people setting the technology’s most
fundamental principles.
By Oscar Williams
6 June 2019
Most people are unaware of the extent to which algorithms already
make life-changing decisions on their behalf. Software can diagnose
illnesses, shortlist you for a job interview or assess whether you
should be granted parole. As machine learning and artificial
intelligence become more sophisticated, automated decision-making
will become ever more influential, and the rules that underpin these
decisions may one day have as much effect on daily life as the laws
of nation states. But while elected governments draw up legislation
in public, the technology industry is spending millions of pounds
quietly attempting to shape the ethical debate about the decisions
machines make.
Spotlight and NS Tech have spent the past two months investigating
the role that the industry plays in supporting British research into
AI ethics. Data obtained under freedom of information laws reveals
that Google has spent millions of pounds funding research at British
universities over the last five years. Oxford University alone has
received at least £17m from Google.
The search giant, whose parent company was worth more than $750bn at
the time of going to print, has been fined €8.24bn over the last two
years by the European Commission for its business practices. The
French data protection authority fined the company a further €50m in
January, and in the UK the Information Commissioner’s Office is
currently investigating claims that the company has breached EU data
laws.
While much of the funding provided to Oxford goes towards technical
research, Google and DeepMind – a British AI company wholly owned by
Google’s parent company, Alphabet – have also supported work at the
Oxford Internet Institute (OII) exploring the ethics of AI, the
civic responsibilities of tech firms and research into the auditing
and transparency of automated decision-making (ADM).
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