--- title: Which story is a fair reason for competitions to write clearer rules? — In the news: deepfakes, fake robocalls… · tree and pragmatics description: Which story is a fair reason for competitions to write clearer rules? Test 6 · ★ of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/t6/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [AI](https://md.mova.elamur.ai/free/en/corpora/questions/ai/) / [In the news: deepfakes, fake robocalls…](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/) / t6 # Test 6 · ★ · In the news: deepfakes, fake robocalls and history gone wr… Which story is a fair reason for competitions to write clearer rules? **Mova's choice:** option 4 · **The right answer:** option 4 · right ✓ · **Who acts:** story · **What happens:** be, write · **To what, where:** fair reason, clearer rules This is test 6 · ★ of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/ai/21-news-deepfakes-history/#t6). ## The question {#question} ```conllu # sent_id = question:ai:21-news-deepfakes-history:t6:1 # text = Which story is a fair reason for competitions to write clearer rules? 1 Which which DET WDT PronType=Int 2 det _ _ 2 story story NOUN NN Number=Sing 6 nsubj _ _ 3 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 cop _ _ 4 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 5 fair fair ADJ JJ Degree=Pos 6 amod _ _ 6 reason reason NOUN NN Number=Sing 0 root _ _ 7 for for ADP IN _ 8 case _ _ 8 competitions competition NOUN NNS Number=Plur 6 nmod _ _ 9 to to PART TO _ 10 mark _ _ 10 write write VERB VB VerbForm=Inf 6 acl _ _ 11 clearer clear ADJ JJR Degree=Cmp 12 amod _ _ 12 rules rule NOUN NNS Number=Plur 10 obj _ SpaceAfter=No 13 ? ? PUNCT . _ 6 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | which story | a fair reason | | | | for competitions | tree rules | | 2 | **write** | to-infinitive | | clearer rules | | | | | vn scribble-25.2-1 «NP V NP»: agent=Agent rule=Theme | One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree. ## The options {#options} ### Option 1 {#o1} Every winner of every contest uses AI ```conllu # sent_id = question:ai:21-news-deepfakes-history:t6:o1:1 # text = Every winner of every contest uses AI 1 Every every DET DT PronType=Tot 2 det _ _ 2 winner winner NOUN NN Number=Sing 6 nsubj _ _ 3 of of ADP IN _ 5 case _ _ 4 every every DET DT PronType=Tot 5 det _ _ 5 contest contest NOUN NN Number=Sing 2 nmod _ _ 6 uses use VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 7 AI ai NOUN NN Number=Sing 6 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **use** | present | every winner of every contest | AI | | | | | vn eat-39.1 «NP V NP»: agent=Agent ai=Patient | ### Option 2 {#o2} Judges have been replaced by robots ```conllu # sent_id = question:ai:21-news-deepfakes-history:t6:o2:1 # text = Judges have been replaced by robots 1 Judges judge NOUN NNS Number=Plur 4 nsubj:pass _ _ 2 have have AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 4 aux _ _ 3 been be AUX VBN Tense=Past|VerbForm=Part 4 aux:pass _ _ 4 replaced replace VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 5 by by ADP IN _ 6 case _ _ 6 robots robot NOUN NNS Number=Plur 4 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **replace** | present · perfect · passive | robots | Judges | | | | | vn substitute-13.6.2-1 «NP V NP»: agent=Theme subject=Co-Theme | ### Option 3 {#o3} Human artists asked to ban all drawing ```conllu # sent_id = question:ai:21-news-deepfakes-history:t6:o3:1 # text = Human artists asked to ban all drawing 1 Human human ADJ JJ Degree=Pos 2 amod _ _ 2 artists artist NOUN NNS Number=Plur 3 nsubj _ _ 3 asked ask VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 4 to to PART TO _ 5 mark _ _ 5 ban ban VERB VB VerbForm=Inf 3 xcomp _ _ 6 all all DET DT PronType=Tot 7 det _ _ 7 drawing drawing NOUN NN Number=Sing 5 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **ask** *speech: ask* | past | Human artists | | | | | | vn inquire-37.1.2 «NP V how S\_INF»: agent=Agent clause=Topic | | 2 | **ban** *not said to happen* | to-infinitive | Human artists *not said here* | all drawing | | | | | vn forbid-64.4-1 «NP V NP»: agent=Causer drawing=Theme | ### Option 4 · ← Mova's choice · ✓ the right answer {#o4} An AI-made picture reportedly won and people argued ```conllu # sent_id = question:ai:21-news-deepfakes-history:t6:o4:1 # text = An AI-made picture reportedly won and people argued 1 An a DET DT Definite=Ind|PronType=Art 5 det _ _ 2 AI ai NOUN NN Number=Sing 4 compound _ SpaceAfter=No 3 - - PUNCT HYPH _ 2 punct _ SpaceAfter=No 4 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 5 amod _ _ 5 picture picture NOUN NN Number=Sing 7 nsubj _ _ 6 reportedly reportedly ADV RB _ 7 advmod _ _ 7 won win VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 8 and and CCONJ CC _ 10 cc _ _ 9 people people NOUN NNS Number=Plur 10 nsubj _ _ 10 argued argue VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 7 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make** | participle | | | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset | | 2 | **win** | past | a made picture | | | | | reportedly *property* | vn succeed-74-2 «NP V»: agent=Agent | | 3 | **argue** *speech: disagree* | past | people | | | | | | vn correspond-36.1-1 «NP V»: agent=Agent | **Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License. - ← previous: [In the news: deepfakes, fake robocalls…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/t5/) - next →: [In the news: deepfakes, fake robocalls…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/t7/) - ↑ back to [In the news: deepfakes, fake robocalls and history gone wrong](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/)