---
title: In respect of age verification and parental controls introduced by c… — In the news: deepfakes, fake robocalls… · tree and pragmatics
description: In respect of age verification and parental controls introduced by certain companies, which of the following statements is most accurate? Exam question 4 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 a
---

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# Exam question 4 · In the news: deepfakes, fake robocalls and history gone wr…

<!-- .ven lang=en -->
In respect of age verification and parental controls introduced by certain companies, which of the following statements is most accurate?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** parental controls · **What happens:** introduce, follow, be, respect · **To what, where:** parental controls, respect, age verification

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This is exam question 4 of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI course of Mova's primary school, asked in stiff, formal language. 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/#e4).

## The question {#question}

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e4:1
# text = In respect of age verification and parental controls introduced by certain companies, which of the following statements is most accurate?
1	In	in	ADP	IN	_	2	case	_	_
2	respect	respect	NOUN	NN	Number=Sing	21	obl	_	_
3	of	of	ADP	IN	_	5	case	_	_
4	age	age	NOUN	NN	Number=Sing	5	compound	_	_
5	verification	verification	NOUN	NN	Number=Sing	2	nmod	_	_
6	and	and	CCONJ	CC	_	8	cc	_	_
7	parental	parental	ADJ	JJ	Degree=Pos	8	amod	_	_
8	controls	control	NOUN	NNS	Number=Plur	21	nsubj	_	_
9	introduced	introduce	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	acl	_	_
10	by	by	ADP	IN	_	12	case	_	_
11	certain	certain	ADJ	JJ	Degree=Pos	12	amod	_	_
12	companies	company	NOUN	NNS	Number=Plur	9	obl	_	SpaceAfter=No
13	,	,	PUNCT	,	_	21	punct	_	_
14	which	which	PRON	WDT	PronType=Rel	21	nsubj	_	_
15	of	of	ADP	IN	_	18	case	_	_
16	the	the	DET	DT	Definite=Def|PronType=Art	18	det	_	_
17	following	follow	VERB	VBG	VerbForm=Ger	18	amod	_	_
18	statements	statement	NOUN	NNS	Number=Plur	21	obl	_	_
19	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	21	cop	_	_
20	most	most	ADV	RBS	Degree=Sup	21	advmod	_	_
21	accurate	accurate	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
22	?	?	PUNCT	.	_	21	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **introduce** | participle |  | parental controls *not said here* |  |  |  | by certain companies | vn amalgamate-22.2-3-1 «NP V ADVP-Middle»: agent=Patient |
| 2 | **follow** | gerund |  |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |
| 3 | **is** | present | parental controls |  |  | respect of age verification |  | of the following statements; accurate *property* | tree rules |
| 4 | **respect** |  |  | age verification |  |  |  |  | nom respect «cognition transitive»: of=patient |

<!-- .note -->
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 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Such measures eliminate every risk to children entirely and permanently

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e4:o1:1
# text = Such measures eliminate every risk to children entirely and permanently
1	Such	such	ADJ	JJ	Degree=Pos	2	amod	_	_
2	measures	measure	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	eliminate	eliminate	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	every	every	DET	DT	PronType=Tot	5	det	_	_
5	risk	risk	NOUN	NN	Number=Sing	3	obj	_	_
6	to	to	ADP	IN	_	7	case	_	_
7	children	child	NOUN	NNS	Number=Plur	3	obl	_	_
8	entirely	entirely	ADV	RB	_	3	advmod	_	_
9	and	and	CCONJ	CC	_	10	cc	_	_
10	permanently	permanently	ADV	RB	_	8	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **eliminate** | present | Such measures | every risk |  |  |  | to children; entirely *property* | vn murder-42.1 «NP V NP»: agent=Agent risk=Patient |

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Such measures are beneficial but imperfect, and conversation within families remains necessary

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e4:o2:1
# text = Such measures are beneficial but imperfect, and conversation within families remains necessary
1	Such	such	ADJ	JJ	Degree=Pos	2	amod	_	_
2	measures	measure	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
4	beneficial	beneficial	ADJ	JJ	Degree=Pos	0	root	_	_
5	but	but	CCONJ	CC	_	6	cc	_	_
6	imperfect	imperfect	ADJ	JJ	Degree=Pos	4	conj	_	SpaceAfter=No
7	,	,	PUNCT	,	_	12	punct	_	_
8	and	and	CCONJ	CC	_	12	cc	_	_
9	conversation	conversation	NOUN	NN	Number=Sing	12	nsubj	_	_
10	within	within	ADP	IN	_	11	case	_	_
11	families	family	NOUN	NNS	Number=Plur	9	nmod	_	_
12	remains	remain	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
13	necessary	necessary	ADJ	JJ	Degree=Pos	12	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Such measures |  |  |  |  | beneficial *property* | tree rules |
| 2 | **be** |  | Such measures *not said here* |  |  |  |  |  | tree rules |
| 3 | **remain** | present | conversation within families |  |  |  |  | necessary *property* | vn exist-47.1 «NP V»: agent=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
Such measures were introduced without any criticism having preceded them

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e4:o3:1
# text = Such measures were introduced without any criticism having preceded them
1	Such	such	ADJ	JJ	Degree=Pos	2	amod	_	_
2	measures	measure	NOUN	NNS	Number=Plur	4	nsubj:pass	_	_
3	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	4	aux:pass	_	_
4	introduced	introduce	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	without	without	ADP	IN	_	7	case	_	_
6	any	any	DET	DT	PronType=Ind	7	det	_	_
7	criticism	criticism	NOUN	NN	Number=Sing	9	obl	_	_
8	having	have	AUX	VBG	Tense=Pres|VerbForm=Part	9	aux	_	_
9	preceded	precede	VERB	VBN	Tense=Past|VerbForm=Part	4	advcl	_	_
10	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	9	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **introduce** | past · passive |  | Such measures |  |  |  |  | vn amalgamate-22.2-3-1 «NP V NP»: subject=Patient |
| 2 | **precede** | gerund · perfect |  | measures *= measure* |  |  |  | without any criticism | vn contiguous\_location-47.8 «NP V NP»: agent=Theme they=Co-Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
Such measures render parental supervision unlawful

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e4:o4:1
# text = Such measures render parental supervision unlawful
1	Such	such	ADJ	JJ	Degree=Pos	2	amod	_	_
2	measures	measure	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	render	render	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	parental	parental	ADJ	JJ	Degree=Pos	5	amod	_	_
5	supervision	supervision	NOUN	NN	Number=Sing	3	obj	_	_
6	unlawful	unlawful	ADJ	JJ	Degree=Pos	5	amod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **render** | present | Such measures | parental supervision |  |  |  |  | vn give-13.1 «NP V NP»: agent=Agent supervision=Theme |

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**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.

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- ← previous: [In the news: deepfakes, fake robocalls…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/e3/)
- next →: [In the news: jobs, art and copying, ch…, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/ai/22-news-jobs-art-safety/t1/)
- ↑ 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/)

