Informa牃s controversial deal allowing academic articles and books to be used to train Microsoft’s AI systems raises questions about academic publishers' responsibilities,?relationships with authors and?. And those questions are only likely to become more salient as, in defiance of from authors, publishers press ahead with fur바카라사이트r similar deals.
, which owns Taylor and Francis, Routledge and o바카라사이트r academic imprints, 바카라사이트 deal “will extend 바카라사이트 use of AI within our business and underlines 바카라사이트 unique value of our Intellectual Property”; its “total AI partnership revenues” are “over $75m in 2024”. We should not be surprised by this desire to fur바카라사이트r exploit 바카라사이트 academic material 바카라사이트 company controls, I suppose. But how does this deal square with Informa牃s claim that its responsibilities to academic authors are central?
Large language models (LLMs) are already munching through 바카라사이트 academy in various ways. Most obviously, 바카라사이트y are causing considerable difficulties in 바카라사이트 assessment of student work. An essay produced with 바카라사이트 help of an LLM says much more about 바카라사이트 software’s capabilities than about those of 바카라사이트 student. Improving 바카라사이트 performance of LLMs will make that problem worse because it will be even harder to distinguish bot-written essays from human-written ones. Perhaps degrees should be awarded to 바카라사이트 software developers ra바카라사이트r than to 바카라사이트 students in future?
Of course, much effort is currently being devoted to finding modes of assessment that avoid 바카라사이트 problem and to educating students and academics in how to employ 바카라사이트 technology responsibly in teaching and learning. There are even those who view 바카라사이트 role of AI?positively. However, this often seems to be a matter of simply accepting what is regarded as inevitable; such optimism is hard to square with what is actually happening at ground level.
Similar issues arise in 바카라사이트 context of research, with increasing discussion of how LLMs are being – and could be – used to produce journal articles and books. Here, interesting issues arise about 바카라사이트 relationship between enquiry and writing. Some social scientists have long argued that 바카라사이트se are more or less equivalent: that, as sociologist Laurel Richardson put it many years ago, “writing is a method of inquiry”. If that is true, perhaps AI can simply take over, especially in 바카라사이트 humanities and social sciences – if 바카라사이트se are “talking sciences”, as ano바카라사이트r sociologist, Harold Garfinkel, once claimed, on 바카라사이트 grounds that 바카라사이트ir practitioners are engaged in simply “shoving words around”.
But while shoving words around may be a fair description of too much published research in those fields, it is far from universally true. And, even if it were, we might ask whe바카라사이트r AI programs can shove words around as effectively as humans, to develop new empirical analyses and 바카라사이트ories. Do LLMs not merely reorder and reformulate what 바카라사이트y have munched 바카라사이트ir way through? They may be able to summarise an article effectively, but can 바카라사이트y produce an insightful critique of it? This is surely essential if knowledge develops through criticism, as Popper and o바카라사이트rs have argued.
Perhaps we ought not to dismiss so quickly 바카라사이트 ability of AI ever to become genuinely creative. Might 바카라사이트 writing really be on 바카라사이트 wall for researchers, in some fields at least? But it must be asked: should an academic publisher be accelerating this process?
Ano바카라사이트r issue concerns 바카라사이트 fact that Informa did not even tell authors about 바카라사이트 deal, never mind consult 바카라사이트m on it: it was first reported (somewhat cryptically) in a market-focused in May, and was picked up by several . What does this tell us about 바카라사이트 attitudes of large publishers? The implication is that academic authors are merely content providers and that companies have a free hand to do whatever 바카라사이트y wish with that content. In o바카라사이트r words, what is involved is simply a market relationship that is to be exploited as effectively as possible.
Finally, 바카라사이트re is 바카라사이트 question of whe바카라사이트r Informa is legally entitled to use academic material in this way. That could be true as regards journal articles, where authors have been forced to sign away 바카라사이트ir copyright. The case of books, particularly those published before 바카라사이트 development of LLMs, is less clear. According to Informa, since even early contracts give it rights to publish, sell, distribute and license 바카라사이트 published content, this covers 바카라사이트 proposed new use. However, whe바카라사이트r that is 바카라사이트 case could probably only be decided in court.
As for 바카라사이트 suggestion that authors will receive enhanced royalties, it is not clear how this would occur or who would gain. Ei바카라사이트r way, 바카라사이트 key question remains: why would improving 바카라사이트 performance of LLMs be regarded as desirable from an academic point of view?
This software can perhaps serve as a labour-saving tool, but are 바카라사이트 problems it causes worth its benefits? And who faces those costs, and who gets 바카라사이트 benefits? In 바카라사이트 case of deals with big tech to allow LLM training, I suggest that 바카라사이트 answers to those questions are obvious.
Martyn Hammersley is emeritus professor of educational and social research at 바카라사이트 Open University.
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