--- title: Which is the best example of AI making life fairer? — Cars, doctors, scientists and translat… · tree and pragmatics description: Which is the best example of AI making life fairer? Test 8 of lesson 18 «Cars, doctors, scientists and translators» 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/18-cars-doctors-translators/t8/) [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/) / [Cars, doctors, scientists and translat…](https://md.mova.elamur.ai/free/en/corpora/questions/ai/18-cars-doctors-translators/) / t8 # Test 8 · Cars, doctors, scientists and translators Which is the best example of AI making life fairer? **Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **What happens:** be, make · **To what, where:** best example, life This is test 8 of lesson 18 «Cars, doctors, scientists and translators» 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/18-cars-doctors-translators/#t8). ## The question {#question} ```conllu # sent_id = question:ai:18-cars-doctors-translators:t8:1 # text = Which is the best example of AI making life fairer? 1 Which which PRON WDT PronType=Rel 5 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 cop _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 best good ADJ JJS Degree=Sup 5 amod _ _ 5 example example NOUN NN Number=Sing 0 root _ _ 6 of of ADP IN _ 7 case _ _ 7 AI ai NOUN NN Number=Sing 5 nmod _ _ 8 making make VERB VBG Tense=Pres|VerbForm=Part 5 advcl _ _ 9 life life NOUN NN Number=Sing 8 obj _ _ 10 fairer fair ADJ JJR Degree=Cmp 8 xcomp _ SpaceAfter=No 11 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | | the best example | | | | of AI | tree rules | | 2 | **make** | gerund | | life | | | | fair *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset life=Product | 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} A video site showing more of the same videos ```conllu # sent_id = question:ai:18-cars-doctors-translators:t8:o1:1 # text = A video site showing more of the same videos 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 video video NOUN NN Number=Sing 3 compound _ _ 3 site site NOUN NN Number=Sing 0 root _ _ 4 showing show VERB VBG VerbForm=Ger 3 acl _ _ 5 more more ADJ JJR Degree=Cmp 4 obj _ _ 6 of of ADP IN _ 9 case _ _ 7 the the DET DT Definite=Def|PronType=Art 9 det _ _ 8 same same ADJ JJ Degree=Pos 9 amod _ _ 9 videos video NOUN NNS Number=Plur 5 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **show** | gerund | a video site *not said here* | more | | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent more=Recipient | ### Option 2 {#o2} A game giving surprise rewards just when you want to stop playing ```conllu # sent_id = question:ai:18-cars-doctors-translators:t8:o2:1 # text = A game giving surprise rewards just when you want to stop playing 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 game game NOUN NN Number=Sing 9 nsubj _ _ 3 giving give VERB VBG VerbForm=Ger 2 acl _ _ 4 surprise surprise NOUN NN Number=Sing 5 compound _ _ 5 rewards reward NOUN NNS Number=Plur 3 obj _ _ 6 just just ADV RB _ 9 advmod _ _ 7 when when ADV WRB PronType=Int 9 advmod _ _ 8 you you PRON PRP Case=Nom|Person=2|PronType=Prs 9 nsubj _ _ 9 want want VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 10 to to PART TO _ 11 mark _ _ 11 stop stop VERB VB VerbForm=Inf 9 xcomp _ _ 12 playing play VERB VBG VerbForm=Ger 11 xcomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **give** | gerund | a game *not said here* | surprise rewards | | | | | vn give-13.1-1 «NP V NP»: agent=Agent reward=Theme | | 2 | **want** | present | a game | | | | | | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot clause=Theme | | 3 | **stop** *not said to happen* | to-infinitive | a game *not said here* | | | | | | vn stop-55.4-1-1 «NP V S\_ING»: agent=Affector clause=Eventuality | | 4 | **play** | gerund | a game *not said here* | | | | | | vn performance-26.7-1 «NP V»: agent=Agent | ### Option 3 · ← Mova's choice · ✓ the right answer {#o3} A phone reading a menu aloud for someone with weak eyes ```conllu # sent_id = question:ai:18-cars-doctors-translators:t8:o3:1 # text = A phone reading a menu aloud for someone with weak eyes 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 phone phone NOUN NN Number=Sing 0 root _ _ 3 reading read VERB VBG VerbForm=Ger 2 acl _ _ 4 a a DET DT Definite=Ind|PronType=Art 5 det _ _ 5 menu menu NOUN NN Number=Sing 3 obj _ _ 6 aloud aloud ADV RB _ 3 advmod _ _ 7 for for ADP IN _ 8 case _ _ 8 someone someone PRON NN Number=Sing|PronType=Ind 3 obl _ _ 9 with with ADP IN _ 11 case _ _ 10 weak weak ADJ JJ Degree=Pos 11 amod _ _ 11 eyes eye NOUN NNS Number=Plur 8 nmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **read** | gerund | a phone *not said here* | a menu | | | | for someone; aloud *property* | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent menu=Topic | ### Option 4 {#o4} A shop app suggesting more things to buy ```conllu # sent_id = question:ai:18-cars-doctors-translators:t8:o4:1 # text = A shop app suggesting more things to buy 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 shop shop NOUN NN Number=Sing 3 compound _ _ 3 app app NOUN NN Number=Sing 0 root _ _ 4 suggesting suggest VERB VBG VerbForm=Ger 3 acl _ _ 5 more more ADJ JJR Degree=Cmp 6 amod _ _ 6 things thing NOUN NNS Number=Plur 4 obj _ _ 7 to to PART TO _ 8 mark _ _ 8 buy buy VERB VB VerbForm=Inf 6 acl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **suggest** *speech: suggest* | gerund | a shop app *not said here* | more things | | | | | vn say-37.7-1-1-1 «NP V NP.topic»: agent=Agent thing=Topic | | 2 | **buy** | to-infinitive | a shop app *not said here* | more things *not said here* | | | | | vn accept-77.1 «NP V how S»: 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: [Cars, doctors, scientists and translat…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/ai/18-cars-doctors-translators/t7/) - next →: [Cars, doctors, scientists and translat…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/ai/18-cars-doctors-translators/t9/) - ↑ back to [Cars, doctors, scientists and translators](https://md.mova.elamur.ai/free/en/corpora/questions/ai/18-cars-doctors-translators/)