Second
meeting of the Intellectual Property Headquarters New Information Goods
Committee. The proper guardianship and use of AIs. Debating institutional
theories concerning training data, AI programs, and trained models.
AI is a
boom and, while we are unable to anticipate a general or all-purpose AI,
countless individual, single-purpose AIs are being created. The combination of
these is important.
A time
draws near when collective AIs, rather than the wisdom of crowds, demonstrate
their power. ...this is a discussion held with this radically developing
situation in mind.
Industry
uses specialty AIs that bear human knowledge as a mechanism through deep
learning, rather than general-use AIs. This year’s mission is to
anticipate the possibilities therein and consider institutions for using them.
The topic will revolve around such things as exclusive use rights (copyrights),
trade secrets, and contracts.
For
example, copyright infringement of a work that was created by an AI is said to
be a grey area. There are cases which, in the U.S., fall under fair use, but
are illegal in Japan. Even if we were to organize a domestic system, the point
of view considering international competition and usage will grow in
importance.
Committee
Member Miyajima indicated that, as Japan is very cautious about gray areas, it
is important to examine the issue with an eye towards increasing creative work
and business opportunities and to get out that message. Committee Member
Yanagawa commented to note that the balance between guardianship and utility
may be disrupted. I think that’s true.
Committee
Member Shimizu observed that open source is mainstream in the software world
and that the time of copyrights is ending. Also, that PPAP is making money on
derivative works on YouTube. It’s wonderful that the name “Pikotaro” will live
on in the official record of government proceedings.
Committee
Member Seo brought up the issue of a non-human “AI individual”. He suggested
that we anticipate big-picture suppositions about various AIs ranging from
infancy, when the AI is still learning, to adulthood. ...again, a development
that indicates the situation.
Committee
Member Shimizu proposed that Japan is lacking in computational resources.
Therefore, we should organize an environment for everyone to use, what we might
call an “AI Portal”. In response to this, there was also the suggestion that it
would be good to have a “National AI Archive” much like our National Diet
Library. Suddenly, we’ve jumped from institutional theory to policies for
promotion.
Committee
Member Kitsuregawa: This is a contest of controlling data more than it is an
algorithm-like methodology. The written works held by libraries will
become less significant compared to data. We need to raise the priority on
data. Right now, we need to put together a strategy for intensely concentrating
resources such as data, budget, and personnel rather than the legislative
system on the issue.
The work
to solve this equation, which involves so many different variables including
institutions, promotional policy, the advance of technology, and the
international situation, will go on.
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