Hello all,

I'd like to offer a few comments in this discussion. First I'd like to say that 
I think this project is very exciting and very much in line with the spirit of 
Open Access, by striving to make available the wealth of the world's knowledge. 
This also means to make it understandable. I am sure that this type of system 
will one day be important in the dissemination of expert knowledge.

Having said that, there are some important questions that I think would have to 
be answered for this project to reap these benefits:

- First of all I very much agree with the subject line of Heather's original 
email. While this is hardly "self-driving car, real-time processing of multiple 
source inputs in life-and-death-situations"-hard, automated parsing of semantic 
content is plenty difficult, and an area where a lot of work remains to be 
done. To take just one example, a new paper investigating the AI-assisted 
subject classification methods of the Dimensions app finds serious problems of 
reliability and validity of the procedure, even going so far as to say that 
"most of the papers seem misclassified" [1]. The Explanation Engine will need 
to make some serious headway in automated semantic analysis to achieve its 
goals.

- It is with this in mind that it is so important that the underlying code from 
this project is open source and transparent, so that the improvements or 
failures that arise from the project can be adopted and adapted by the wider 
community. In this way the project can have research benefits in addition to 
the possible dissemination/public exposure gains.

- While I believe Heather's interpretation of moral rights is incorrect*, I 
think you should carefully think about the legal ramifications of a project 
like this. At the very least a clear demarcation between the original work and 
the derived explanations should be immediately obvious to users of the 
application, and an opt-out/takedown mechanism be implemented. Presumably a way 
to include and exclude the different parts of the Explanation Engine could be 
interesting too, for example by being able to turn on or off the 

These caveats aside, I look forward to seeing the results of your work, and 
would like to offer my own CC-licensed work as guinea pig for the Engine if you 
need an actual author to give feedback on the quality of the annotations and 
summaries that are produced by your concept machine.


Regards,
Henrik Karlstrøm

* The Berne Declarations does NOT unilaterally grant authors the right to 
object to modifications of a work that "affects their reputation" - that would 
make for example literary criticism or academic debate very hard. For the Right 
to Integrity to be violated, it is not enough that the author feels that there 
is a violation, the author must be able to demonstrate prejudice on the part of 
the modifiers, and demonstrate it "on an objective standard that is based on 
public or expert opinion in order to establish that the author's opinion was 
reasonable" [2]. Of course, this only matters in jurisdictions that recognize 
moral rights. The US, for example, does not...

[1] Bornmann, L. Scientometrics (2018). 
https://doi.org/10.1007/s11192-018-2855-y
[2] 
https://en.wikipedia.org/wiki/Prise_de_parole_Inc_v_Gu%C3%A9rin,_%C3%A9diteur_Lt%C3%A9e


>-----Original Message-----
>From: [email protected] <[email protected]> On Behalf Of
>Heather Morrison
>Sent: Friday, July 13, 2018 8:32 PM
>To: Global Open Access List (Successor of AmSci) <[email protected]>
>Subject: Re: [GOAL] Why translating all scholarly knowledge for non-specialists
>using AI is complicated
>
>It is easy to cherry-pick some examples of where this might work and not be
>problematic. This is useful as an analytic exercise to demonstrate the 
>potential.
>However it is important to consider and assess negative as well as positive
>possible consequences.
>
>With respect to violation of author's moral rights, under Berne 6bis
>http://www.wipo.int/treaties/en/text.jsp?file_id=283698 authors have the right
>to object to certain modifications of their work, that may impact the authors
>reputation, even after transfer of all economic rights. Reputation is critical 
>to an
>academic career.
>
>Has anyone conducted research to find out whether academic authors consider
>Wikipedia annotations to be an acceptable modification of their work?
>
>As an academic author, after using CC licenses permitting modifications for 
>many
>years, after careful consideration, I have stopped doing this. Your work for me
>reinforces the wisdom of this decision. I do not wish my work to be annotated 
>or
>automatically summarized by your project. I suspect that other academic authors
>will share this perspective. This may include authors who have chosen liberal
>licenses without realizing that they have inadvertently granted permission for
>such experiments.
>
>CC licenses with the attribution element include author moral rights and 
>remedies
>for violation of such rights.
>
>My advice is to limit this experiment to willing participants. For the 
>avoidance of
>doubt: I object to your group annotating or automatically summarizing my work.
>
>Thank you for the offer to contribute to your project. These posts to GOAL are
>my contribution.
>
>best,
>
>Heather Morrison
>
>________________________________
>From: [email protected] <[email protected]> on behalf of
>Jason Priem <[email protected]>
>Sent: Friday, July 13, 2018 1:35:51 PM
>To: Global Open Access List (Successor of AmSci)
>Subject: Re: [GOAL] Why translating all scholarly knowledge for non-specialists
>using AI is complicated
>
>Thanks Heather for your continued comments! Good stuff in there. Some
>responses below:
>
>
>
>HM: Q1: to clarify, we are talking about peer-reviewed journal articles, 
>right? You
>are planning to annotate journal articles that are written and vetted by 
>experts
>using definitions that are developed by anyone who chooses to participate in
>Wikipedia / Wikidata, i.e. annotating works that are carefully vetted by 
>experts
>using the contributions of non-experts?
>
>Correct. An example may be useful here:
>
>The article "More than 75 percent decline over 27 years in total flying insect
>biomass in protected areas" was published in 2017 by PLOS ONE [1], and
>appeared in hundreds of news stories and thousands of tweets [2]. It's open
>access which is great. But if you try to read the article, you run into 
>sentences like
>this:
>
>"Here, we used a standardized protocol to measure total insect biomass using
>Malaise traps, deployed over 27 years in 63 nature protection areas in Germany
>(96 unique location-year combinations) to infer on the status and trend of 
>local
>entomofauna."
>
>Even as a somewhat well-educated person, I sure don't know what a Malaise trap
>is, or what entomofauna is. The more I trip over words and concepts like this, 
>the
>less I want to read the article. I feel like it's just...not for me.
>
>But Wiktionary can tell me entomofauna means "insect fauna," [3] and Wikipedia
>can show me a picture of a Malaise trap (it looks like a tent, turns out) [4].
>
>We're going to bring those kinds of descriptions and definitions right next to 
>the
>text, so it will feel a bit more like this article IS for me. This isn't going 
>to make
>the article magically easy to understand, but we think it will help open a 
>door that
>makes engaging with the literature a bit more inviting. Our early tests with 
>this
>are very promising.
>
>That said, we're certainly going to be iterating on it a lot, and we're not 
>actually
>attached to any particular implementation details. The goal is to help 
>laypeople
>access the literature, and do it responsibly. If this turns out to be 
>impossible with
>this approach, then we'll move on to another one.
>
>For us, the key to the Explanation Engine idea is to be modular and flexible, 
>using
>multiple layered techniques, in order to reduce risk and increase speed.
>
>
>[1] http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0185809
>[2] https://www.altmetric.com/details/27610705
>[3] https://en.wiktionary.org/wiki/entomofauna
>[4] https://en.wikipedia.org/wiki/Malaise_trap
>
>
>
>
>Q2: who made the decision that this is safe, and how was this decision made?
>
>Hm, perhaps I should've been more careful in my original statement. Apologies.
>There's certainly no formal Decision here...I'm just suggesting that we think 
>the
>risk of spreading misinformation is relatively low with this approach.  That's 
>why
>we'll start there. But the proof will need to be in the pudding, of course. 
>We'll
>need to implement this, test it, and so on.
>
>Maybe I'm wrong and this is actually a horrible, dangerous idea.
>
>If so, we'll find out, and take it from there. Thanks for letting us know you 
>are
>concerned it's not safe. We' take that seriously and so we'll make sure we are
>evaluating this feature carefully. If you're interested in helping with that, 
>we'd
>love to have your input as well...drop me a line off-list and we can talk 
>about how
>to work together on it.
>
>
>If the author has not given permission, this is a violation of the author's 
>moral
>rights under copyright. This includes all CC licensed works except CC-0.
>
>I'm not sure I see how this would be true? We are not modifying the text or
>failing to give credit to the original author, but rather creating a 
>commentary on
>it...quite like one might do if discussing the paper in a journal club.
>
>I am not opposed to your project, just the assumption that a two-year project 
>is
>sufficient to create a real-world system to translate all scholarly knowledge 
>for
>the lay reader.
>
>Makes sense. You may be right...could be a quixotic errand. We will do our 
>best,
>and hopefully whatever we come up with will be a step in the right direction, 
>at
>least. I think something like this could make the world a better place, and 
>maybe
>if we aren't able to achieve it we can at least help give some ideas to the 
>people
>who ultimately do.
>
>
> A cautious and iterative approach is wise; however this is not feasible in the
>context of a two-year grant. May I suggest a small pilot project? Try this 
>with a
>few articles in an area where at least one member of your team has a doctorate.
>Take the time to evaluate the summaries. If they look okay to your team, plan a
>larger evaluation project involving other experts and the lay readers you are
>aiming to engage (because what an expert thinks a summary says may not be the
>same as how a non-expert would interpret the same summary).
>
>I think this sounds great! Your plan is very much what we have in mind to do. 
>And
>then we will continue from there on the "cautious iterative approach" to 
>rolling
>out features. I think the only area where we differ is in the 
>timeline...sounds like
>you don't project that we can get everything we need to done in a two-year time
>frame.
>
>You may be right. Time will tell. Historically, Impactstory has been able to 
>get
>stuff done pretty fast, but once again, the proof will be in the pudding 😃. 
>We're
>certainly excited and motivated and will be doing our best!
>
>
>
>Thank you for posting openly about the approach and for the opportunity to
>comment.
>
>Thank you for your thoughtful comments!
>j
>
>
>best,
>
>Heather Morrison
>Associate Professor, School of Information Studies, University of Ottawa
>Professeur Agrégé, École des Sciences de l'Information, Université d'Ottawa
>[email protected]<mailto:[email protected]>
>https://uniweb.uottawa.ca/?lang=en#/members/706
>
>_
>
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>
>
>
>--
>Jason Priem, co-founder
>Impactstory<http://impactstory.org/>: We make tools to power the Open
>Science revolution follow at @jasonpriem<http://twitter.com/jasonpriem> and
>@impactstory<http://twitter.com/impactstory>
>
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