--- title: Which hope about AI raises a question of fairness? — The future: hopes · tree and pragmatics description: Which hope about AI raises a question of fairness? Test 6 of lesson 24 «The future: hopes» 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 wrong. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/ai/24-future-hopes/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/) / [The future: hopes](https://md.mova.elamur.ai/free/en/corpora/questions/ai/24-future-hopes/) / t6 # Test 6 · The future: hopes Which hope about AI raises a question of fairness? **Mova's choice:** option 4 · **The right answer:** option 1 · wrong ✗ · **Who acts:** AI · **What happens:** hope, raise, question · **To what, where:** question, fairness · **Speech:** someone speaks here This is test 6 of lesson 24 «The future: hopes» 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/24-future-hopes/#t6). ## The question {#question} ```conllu # sent_id = question:ai:24-future-hopes:t6:1 # text = Which hope about AI raises a question of fairness? 1 Which which PRON WDT PronType=Rel 2 nsubj _ _ 2 hope hope VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 about about SCONJ IN _ 5 mark _ _ 4 AI ai NOUN NN Number=Sing 5 nsubj _ _ 5 raises raise VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 2 ccomp _ _ 6 a a DET DT Definite=Ind|PronType=Art 7 det _ _ 7 question question NOUN NN Number=Sing 5 obj _ _ 8 of of ADP IN _ 9 case _ _ 9 fairness fairness NOUN NN Number=Sing 7 nmod _ SpaceAfter=No 10 ? ? PUNCT . _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **hope** | present | | | | | | | vn long-32.2 «NP V S\_INF»: agent=Pivot clause=Theme | | 2 | **raise** | present | AI | a question of fairness | | | | | vn put\_direction-9.4 «NP V NP»: agent=Agent question=Theme | | 3 | **question** | | | fairness | | | | | nom question «communication transitive»: of=patient | 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 · ✓ the right answer {#o1} Tutoring tools that some families can't afford ```conllu # sent_id = question:ai:24-future-hopes:t6:o1:1 # text = Tutoring tools that some families can't afford 1 Tutoring tutor VERB VBG VerbForm=Ger 2 amod _ _ 2 tools tool NOUN NNS Number=Plur 0 root _ _ 3 that that PRON WDT PronType=Rel 8 obj _ _ 4 some some DET DT PronType=Ind 5 det _ _ 5 families family NOUN NNS Number=Plur 8 nsubj _ _ 6 ca can AUX MD VerbForm=Fin 8 aux _ SpaceAfter=No 7 n't not PART RB Polarity=Neg 8 advmod _ _ 8 afford afford VERB VB VerbForm=Inf 2 acl:relcl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **tutor** | gerund | | | | | | | vn captain-29.8-1 «NP V PP.beneficiary»: agent=Agent | | 2 | **not** **afford** | can | some families | Tutoring tools | | | | | tree rules | ### Option 2 {#o2} Weather forecasts getting better ```conllu # sent_id = question:ai:24-future-hopes:t6:o2:1 # text = Weather forecasts getting better 1 Weather weather NOUN NN Number=Sing 2 nsubj _ _ 2 forecasts forecast VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 getting get VERB VBG VerbForm=Ger 2 xcomp _ _ 4 better good ADJ JJR Degree=Cmp 3 xcomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **forecast** | present | Weather | | | | | | tree rules | | 2 | **get** | gerund | Weather *not said here* | | | | | good *property* | vn comprehend-87.2-1 «NP V S\_ING»: agent=Experiencer | ### Option 3 {#o3} Robots doing ironing in every home ```conllu # sent_id = question:ai:24-future-hopes:t6:o3:1 # text = Robots doing ironing in every home 1 Robots robot NOUN NNS Number=Plur 0 root _ _ 2 doing do VERB VBG VerbForm=Ger 1 acl _ _ 3 ironing iron VERB VBG VerbForm=Ger 2 xcomp _ _ 4 in in ADP IN _ 6 case _ _ 5 every every DET DT PronType=Tot 6 det _ _ 6 home home NOUN NN Number=Sing 3 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **do** | gerund | Robots *not said here* | | | | | | tree rules | | 2 | **iron** | gerund | Robots *not said here* | | | every home | | | vn wipe\_instr-10.4.2 «NP.agent V»: agent=Agent | ### Option 4 · ← Mova's choice {#o4} Football played only by people ```conllu # sent_id = question:ai:24-future-hopes:t6:o4:1 # text = Football played only by people 1 Football Football PROPN NNP Number=Sing 2 nsubj _ _ 2 played play VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 only only ADV RB _ 2 advmod _ _ 4 by by ADP IN _ 5 case _ _ 5 people people NOUN NNS Number=Plur 2 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **play** | past | Football | | | | | by people | vn performance-26.7-1 «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. 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