---
title: Select the response that is consistent with the established facts co… — In the news: deepfakes, fake robocalls… · tree and pragmatics
description: Select the response that is consistent with the established facts concerning legal proceedings brought by writers and newspapers against companies developing artificial intelligence. Exam question 3 of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI course of Mova
---

<!-- md -->
[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/e3/)

<!-- crumbs -->
[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/) / e3

# Exam question 3 · In the news: deepfakes, fake robocalls and history gone wr…

<!-- .ven lang=en -->
Select the response that is consistent with the established facts concerning legal proceedings brought by writers and newspapers against companies developing artificial intelligence.

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** you, response, established facts, companies · **What happens:** select, be, establish, concern, bring, develop · **To what, where:** response, legal proceedings, artificial intelligence

<!-- .vabout -->
This is exam question 3 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/#e3).

## The question {#question}

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e3:1
# text = Select the response that is consistent with the established facts concerning legal proceedings brought by writers and newspapers against companies developing artificial intelligence.
1	Select	select	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	response	response	NOUN	NN	Number=Sing	1	obj	_	_
4	that	that	PRON	WDT	PronType=Rel	6	nsubj	_	_
5	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	consistent	consistent	ADJ	JJ	Degree=Pos	3	acl:relcl	_	_
7	with	with	ADP	IN	_	10	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
9	established	establish	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	10	amod	_	_
10	facts	fact	NOUN	NNS	Number=Plur	6	obl	_	_
11	concerning	concern	VERB	VBG	VerbForm=Ger	10	acl	_	_
12	legal	legal	ADJ	JJ	Degree=Pos	13	amod	_	_
13	proceedings	proceedings	NOUN	NNS	Number=Ptan	11	obj	_	_
14	brought	bring	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	13	acl	_	_
15	by	by	ADP	IN	_	16	case	_	_
16	writers	writer	NOUN	NNS	Number=Plur	14	obl:agent	_	_
17	and	and	CCONJ	CC	_	18	cc	_	_
18	newspapers	newspaper	NOUN	NNS	Number=Plur	16	conj	_	_
19	against	against	ADP	IN	_	20	case	_	_
20	companies	company	NOUN	NNS	Number=Plur	14	obl:agent	_	_
21	developing	develop	VERB	VBG	VerbForm=Ger	20	acl	_	_
22	artificial	artificial	ADJ	JJ	Degree=Pos	23	amod	_	_
23	intelligence	intelligence	NOUN	NN	Number=Sing	21	obj	_	SpaceAfter=No
24	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **select** | imperative | you *not said here* | the response |  |  |  |  | vn obtain-13.5.2 «NP V NP»: agent=Agent response=Theme |
| 2 | **is** | present | the response |  |  |  |  | with the established facts; consistent *property* | tree rules |
| 3 | **establish** | participle |  |  |  |  |  |  | vn indicate-78-1-1 «NP V NP to be NP»: agent=Pivot |
| 4 | **concern** | gerund | the established facts *not said here* | legal proceedings |  |  |  |  | vn amuse-31.1 «NP V NP»: agent=Stimulus proceedings=Experiencer |
| 5 | **bring** | participle |  | legal proceedings *not said here* |  |  |  |  | vn bring-11.3-1 «NP V NP together»: agent=Agent |
| 6 | **develop** | gerund | companies *not said here* | artificial intelligence |  |  |  |  | vn build-26.1 «NP V NP»: agent=Agent intelligence=Product |

<!-- .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 -->
All proceedings have been decided in favour of the writers

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e3:o1:1
# text = All proceedings have been decided in favour of the writers
1	All	all	DET	DT	PronType=Tot	2	det	_	_
2	proceedings	proceedings	NOUN	NNS	Number=Ptan	5	nsubj:pass	_	_
3	have	have	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	aux	_	_
4	been	be	AUX	VBN	Tense=Past|VerbForm=Part	5	aux:pass	_	_
5	decided	decide	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	in	in	ADP	IN	_	7	case	_	_
7	favour	favour	NOUN	NN	Number=Sing	5	obl	_	_
8	of	of	ADP	IN	_	10	case	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	writers	writer	NOUN	NNS	Number=Plur	7	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **decide** | present · perfect · passive |  | all proceedings |  | favour of the writers |  |  | vn correspond-36.1-1 «NP V S»: subject=Topic |
| 2 | **favour** |  |  | the writers |  |  |  |  | nom favour «feeling transitive»: of=patient |

### Option 2 {#o2}

<!-- .ven lang=en -->
No such proceedings have ever been reported

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e3:o2:1
# text = No such proceedings have ever been reported
1	No	no	DET	DT	PronType=Neg	3	det	_	_
2	such	such	ADJ	JJ	Degree=Pos	3	amod	_	_
3	proceedings	proceedings	NOUN	NNS	Number=Ptan	7	nsubj:pass	_	_
4	have	have	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	7	aux	_	_
5	ever	ever	ADV	RB	PronType=Ind	7	advmod	_	_
6	been	be	AUX	VBN	Tense=Past|VerbForm=Part	7	aux:pass	_	_
7	reported	report	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **report** | present · perfect · passive |  | no such proceedings |  |  | ever |  | vn prosecute-33.2 «NP V NP»: subject=Patient |

### Option 3 {#o3}

<!-- .ven lang=en -->
All proceedings have been decided in favour of the companies

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e3:o3:1
# text = All proceedings have been decided in favour of the companies
1	All	all	DET	DT	PronType=Tot	2	det	_	_
2	proceedings	proceedings	NOUN	NNS	Number=Ptan	5	nsubj:pass	_	_
3	have	have	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	aux	_	_
4	been	be	AUX	VBN	Tense=Past|VerbForm=Part	5	aux:pass	_	_
5	decided	decide	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	in	in	ADP	IN	_	7	case	_	_
7	favour	favour	NOUN	NN	Number=Sing	5	obl	_	_
8	of	of	ADP	IN	_	10	case	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	companies	company	NOUN	NNS	Number=Plur	7	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **decide** | present · perfect · passive |  | all proceedings |  | favour of the companies |  |  | vn correspond-36.1-1 «NP V S»: subject=Topic |
| 2 | **favour** |  |  | the companies |  |  |  |  | nom favour «feeling transitive»: of=patient |

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
The courts have yet to settle what use of such works is fair

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e3:o4:1
# text = The courts have yet to settle what use of such works is fair
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	courts	court	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	have	have	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	yet	yet	ADV	RB	_	3	advmod	_	_
5	to	to	PART	TO	_	6	mark	_	_
6	settle	settle	VERB	VB	VerbForm=Inf	3	xcomp	_	_
7	what	what	DET	WDT	PronType=Int	8	det	_	_
8	use	use	NOUN	NN	Number=Sing	13	nsubj	_	_
9	of	of	ADP	IN	_	11	case	_	_
10	such	such	ADJ	JJ	Degree=Pos	11	amod	_	_
11	works	work	NOUN	NNS	Number=Plur	8	nmod	_	_
12	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	13	cop	_	_
13	fair	fair	ADJ	JJ	Degree=Pos	6	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **have** | present | the courts |  |  |  | yet |  | tree rules |
| 2 | **settle** | to-infinitive | the courts *not said here* |  |  |  |  |  | vn correspond-36.1 «NP V»: agent=Agent |
| 3 | **is** | present | what use of such works |  |  |  |  | fair *property* | tree rules |
| 4 | **use** |  |  | such works |  |  |  |  | nom use «act transitive»: of=patient |

<!-- div src -->

**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.

<!-- /div -->

<!-- pn -->
- ← previous: [In the news: deepfakes, fake robocalls…, exam 2](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/e2/)
- next →: [In the news: deepfakes, fake robocalls…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/e4/)
- ↑ 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/)