--- title: Your friend says, "If a bot gets it wrong, the company can just blam… — In the news: invented court cases and… · tree and pragmatics description: Your friend says, "If a bot gets it wrong, the company can just blame the bot." Which is closer to what was reported? Test 3 · ★ of lesson 20 «In the news: invented court cases and an airline's chatbot» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the questio --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/ai/20-news-court-cases-airline/t3/) [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: invented court cases and…](https://md.mova.elamur.ai/free/en/corpora/questions/ai/20-news-court-cases-airline/) / t3 # Test 3 · ★ · In the news: invented court cases and an airline's chatbot Your friend says, "If a bot gets it wrong, the company can just blame the bot." Which is closer to what was reported? **Mova's choice:** option 3 · **The right answer:** option 2 · wrong ✗ · **Who acts:** friend, bot, company · **What happens:** say, get, blame, be, report · **To what, where:** friend, bot · **Speech:** someone speaks here This is test 3 · ★ of lesson 20 «In the news: invented court cases and an airline's chatbot» 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/20-news-court-cases-airline/#t3). ## The question {#question} *Sentence 1:* Your friend says, "If a bot gets it wrong, the company can just blame the bot." ```conllu # sent_id = question:ai:20-news-court-cases-airline:t3:1 # text = Your friend says, "If a bot gets it wrong, the company can just blame the bot." 1 Your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 friend friend NOUN NN Number=Sing 3 nsubj _ _ 3 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ SpaceAfter=No 4 , , PUNCT , _ 3 punct _ _ 5 " " PUNCT `` _ 17 punct _ SpaceAfter=No 6 If if SCONJ IN _ 9 mark _ _ 7 a a DET DT Definite=Ind|PronType=Art 8 det _ _ 8 bot bot NOUN NN Number=Sing 9 nsubj _ _ 9 gets get VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 17 advcl _ _ 10 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 9 obj _ _ 11 wrong wrong ADJ JJ Degree=Pos 9 xcomp _ SpaceAfter=No 12 , , PUNCT , _ 9 punct _ _ 13 the the DET DT Definite=Def|PronType=Art 14 det _ _ 14 company company NOUN NN Number=Sing 17 nsubj _ _ 15 can can AUX MD VerbForm=Fin 17 aux _ _ 16 just just ADV RB _ 17 advmod _ _ 17 blame blame VERB VB VerbForm=Inf 3 ccomp _ _ 18 the the DET DT Definite=Def|PronType=Art 19 det _ _ 19 bot bot NOUN NN Number=Sing 17 obj _ SpaceAfter=No 20 . . PUNCT . _ 17 punct _ SpaceAfter=No 21 " " PUNCT '' _ 17 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present | Your friend | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 2 | **get** *a condition, not said to happen, in a quote* | present | a bot | friend | | | | wrong *property* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer it=Stimulus | | 3 | **blame** *in a quote* | can | the company | the bot | | | | | vn judgment-33.1 «NP V NP»: agent=Agent bot=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. *Sentence 2:* Which is closer to what was reported? ```conllu # sent_id = question:ai:20-news-court-cases-airline:t3:2 # text = Which is closer to what was reported? 1 Which which PRON WDT PronType=Rel 3 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 closer close ADJ JJR Degree=Cmp 0 root _ _ 4 to to SCONJ IN _ 7 mark _ _ 5 what what PRON WP PronType=Int 7 nsubj:pass _ _ 6 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 7 aux:pass _ _ 7 reported report VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 3 advcl _ SpaceAfter=No 8 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | | | | | | close *property* | tree rules | | 2 | **report** | past · passive | | | | | | | vn prosecute-33.2 «NP V NP»: subject=Patient | ## The options {#options} ### Option 1 {#o1} Customers must pay for bots' mistakes ```conllu # sent_id = question:ai:20-news-court-cases-airline:t3:o1:1 # text = Customers must pay for bots' mistakes 1 Customers customer NOUN NNS Number=Plur 3 nsubj _ _ 2 must must AUX MD VerbForm=Fin 3 aux _ _ 3 pay pay VERB VB VerbForm=Inf 0 root _ _ 4 for for ADP IN _ 7 case _ _ 5 bots bot NOUN NNS Number=Plur 7 nmod:poss _ SpaceAfter=No 6 ' 's PART POS _ 5 case _ _ 7 mistakes mistake NOUN NNS Number=Plur 3 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **pay** | must | Customers | | | | | for bots's mistakes | vn pay-68-1 «NP V NP PP.theme»: agent=Agent for mistake=Theme | | 2 | **mistake** | | bots | | | | | | nom mistake «act intransitive»: poss=agent | ### Option 2 · ✓ the right answer {#o2} A tribunal made the airline honour its chatbot's words ```conllu # sent_id = question:ai:20-news-court-cases-airline:t3:o2:1 # text = A tribunal made the airline honour its chatbot's words 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 tribunal tribunal NOUN NN Number=Sing 3 nsubj _ _ 3 made make VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 4 the the DET DT Definite=Def|PronType=Art 6 det _ _ 5 airline airline ADJ JJ Degree=Pos 6 amod _ _ 6 honour honour NOUN NN Number=Sing 3 obj _ _ 7 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 8 nmod:poss _ _ 8 chatbot chatbot NOUN NN Number=Sing 10 nmod:poss _ SpaceAfter=No 9 's 's PART POS _ 8 case _ _ 10 words word NOUN NNS Number=Plur 3 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make** | past | a tribunal | the airline honour | | | | | vn build-26.1-1 «NP.asset V NP NP»: agent=Asset honour=Beneficiary word=Product | | 2 | **word** | | tribunal's chatbot | | | | | | nom word «communication transitive»: poss=agent | ### Option 3 · ← Mova's choice {#o3} Bots are sent to court instead of companies ```conllu # sent_id = question:ai:20-news-court-cases-airline:t3:o3:1 # text = Bots are sent to court instead of companies 1 Bots bot NOUN NNS Number=Plur 3 nsubj:pass _ _ 2 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 aux:pass _ _ 3 sent send VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 4 to to ADP IN _ 5 case _ _ 5 court court NOUN NN Number=Sing 3 obl _ _ 6 instead instead ADV RB ExtPos=ADP 8 case _ _ 7 of of ADP IN _ 6 fixed _ _ 8 companies company NOUN NNS Number=Plur 3 obl:agent _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **send** | present · passive | companies | Bots | | court | | | vn confine-92-1 «NP V NP PP.destination»: agent=Agent subject=Theme to court=Destination | ### Option 4 {#o4} Companies can always blame their bots, so customers get nothing ```conllu # sent_id = question:ai:20-news-court-cases-airline:t3:o4:1 # text = Companies can always blame their bots, so customers get nothing 1 Companies company NOUN NNS Number=Plur 4 nsubj _ _ 2 can can AUX MD VerbForm=Fin 4 aux _ _ 3 always always ADV RB PronType=Tot 4 advmod _ _ 4 blame blame VERB VB VerbForm=Inf 0 root _ _ 5 their their PRON PRP$ Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs 6 nmod:poss _ _ 6 bots bot NOUN NNS Number=Plur 4 obj _ SpaceAfter=No 7 , , PUNCT , _ 10 punct _ _ 8 so so ADV RB _ 10 advmod _ _ 9 customers customer NOUN NNS Number=Plur 10 nsubj _ _ 10 get get VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 4 conj _ _ 11 nothing nothing PRON NN Number=Sing|PronType=Neg 10 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **blame** | can | Companies | Companies's bots | | | | always *property* | vn judgment-33.1 «NP V NP»: agent=Agent bot=Theme | | 2 | **get** | present | customers | nothing | | | | | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer nothing=Stimulus | **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. 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