Exam question 2 · The future: hopes

It is given that two adults disagree as to whether artificial intelligence will prove beneficial or harmful. Identify the conclusion most consistent with the lesson.

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: two adults, artificial intelligence, you · What happens: give, disagree, prove, identify · To what, where: It, conclusion

This is exam question 2 of lesson 24 «The future: hopes» 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.

The question

Sentence 1: It is given that two adults disagree as to whether artificial intelligence will prove beneficial or harmful.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	3 given	nsubj:pass
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 given	aux:pass
3	given	give	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
4	that	that	SCONJ	_	7 disagree	mark
5	two	two	NUM	NumForm=Word NumType=Card	6 adults	nummod
6	adults	adult	NOUN	Number=Plur	7 disagree	nsubj
7	disagree	disagree	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	3 given	advcl
8	as	as	SCONJ	_	14 prove	mark
9	to	to	ADP	_	8 as	fixed
10	whether	whether	SCONJ	_	14 prove	mark
11	artificial	artificial	ADJ	Degree=Pos	12 intelligence	amod
12	intelligence	intelligence	NOUN	Number=Sing	14 prove	nsubj
13	will	will	AUX	VerbForm=Fin	14 prove	aux
14	prove	prove	VERB	VerbForm=Inf	7 disagree	advcl
15	beneficial	beneficial	ADJ	Degree=Pos	14 prove	xcomp
16	or	or	CCONJ	_	17 harmful	cc
17	harmful	harmful	ADJ	Degree=Pos	15 beneficial	conj
18	.	.	PUNCT	_	3 given	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	give	present · passive		It		vn give-13.1-1 «NP V NP»: subject=Theme
2	disagree	present	two adults			vn correspond-36.1 «NP V»: agent=Agent
3	prove	future	artificial intelligence		beneficial property	vn declare-29.4-1-1 «NP V what S_INF»: agent=Agent

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: Identify the conclusion most consistent with the lesson.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Identify	identify	VERB	Mood=Imp VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	3 conclusion	det
3	conclusion	conclusion	NOUN	Number=Sing	1 Identify	obj
4	most	most	ADV	Degree=Sup	5 consistent	advmod
5	consistent	consistent	ADJ	Degree=Pos	3 conclusion	amod
6	with	with	ADP	_	8 lesson	case
7	the	the	DET	Definite=Def PronType=Art	8 lesson	det
8	lesson	lesson	NOUN	Number=Sing	5 consistent	obl
9	.	.	PUNCT	_	1 Identify	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	identify	imperative	you not said here	the conclusion					vn characterize-29.2-1-1 «NP V NP S_ING»: agent=Agent conclusion=Theme

The options

Option 1

The first opinion must be accepted without question

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	3 opinion	det
2	first	first	ADJ	Degree=Pos NumForm=Word NumType=Ord	3 opinion	amod
3	opinion	opinion	NOUN	Number=Sing	6 accepted	nsubj:pass
4	must	must	AUX	VerbForm=Fin	6 accepted	aux
5	be	be	AUX	VerbForm=Inf	6 accepted	aux:pass
6	accepted	accept	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
7	without	without	ADP	_	8 question	case
8	question	question	NOUN	Number=Sing	6 accepted	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	accept	must · passive		the first opinion				without question	vn obtain-13.5.2 «NP V NP»: subject=Theme

Option 2 · ← Mova's choice · ✓ the right answer

The outcome is likely to lie between the extremes and to depend on human choices

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 outcome	det
2	outcome	outcome	NOUN	Number=Sing	4 likely	nsubj
3	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 likely	cop
4	likely	likely	ADJ	Degree=Pos	root	root
5	to	to	PART	_	6 lie	mark
6	lie	lie	VERB	VerbForm=Inf	4 likely	xcomp
7	between	between	ADP	_	9 extremes	case
8	the	the	DET	Definite=Def PronType=Art	9 extremes	det
9	extremes	extreme	NOUN	Number=Plur	6 lie	obl
10	and	and	CCONJ	_	12 depend	cc
11	to	to	PART	_	12 depend	mark
12	depend	depend	VERB	VerbForm=Inf	6 lie	conj
13	on	on	ADP	_	15 choices	case
14	human	human	ADJ	Degree=Pos	15 choices	amod
15	choices	choice	NOUN	Number=Plur	12 depend	obl

#	verb	tense, mood	who	where	other	roles by
1	is	present	the outcome		likely property	tree rules
2	lie	to-infinitive	the outcome not said here	the extremes		vn assuming_position-50 «NP V PP.location»: agent=Agent between extreme=Location
3	depend	to-infinitive	the outcome not said here		on human choices	vn rely-70 «NP V PP.theme S_ING»: agent=Agent on choice=Theme

Option 3

The outcome has been determined already by the machines themselves and cannot be altered

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 outcome	det
2	outcome	outcome	NOUN	Number=Sing	5 determined	nsubj:pass
3	has	have	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	5 determined	aux
4	been	be	AUX	Tense=Past VerbForm=Part	5 determined	aux:pass
5	determined	determine	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
6	already	already	ADV	_	5 determined	advmod
7	by	by	ADP	_	9 machines	case
8	the	the	DET	Definite=Def PronType=Art	9 machines	det
9	machines	machine	NOUN	Number=Plur	5 determined	obl
10	themselves	themselves	PRON	Case=Acc Number=Plur Person=3 PronType=Emp Reflex=Yes	9 machines	nmod:unmarked
11	and	and	CCONJ	_	15 altered	cc
12	can	can	AUX	VerbForm=Fin	15 altered	aux
13	not	not	PART	Polarity=Neg	15 altered	advmod
14	be	be	AUX	VerbForm=Inf	15 altered	aux:pass
15	altered	alter	VERB	Tense=Past VerbForm=Part Voice=Pass	5 determined	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	determine	present · perfect · passive	the machines machines	the outcome					vn discover-84 «NP V NP»: agent=Agent subject=Topic
2	not alter	can · passive	the machines machines not said here						vn other_cos-45.4 «NP.patient V»

Option 4

Neither opinion merits any consideration

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Neither	neither	DET	PronType=Neg	2 opinion	det
2	opinion	opinion	NOUN	Number=Sing	3 merits	nsubj
3	merits	merit	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	any	any	DET	PronType=Ind	5 consideration	det
5	consideration	consideration	NOUN	Number=Sing	3 merits	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	merit	present	neither opinion	any consideration					tree rules

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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/ai/24-future-hopes/e2/