Debate contribution: Sexually Explicit Deepfake Images

Debate contribution by Ms Diane Forsythe on .

MLA
Ms Diane Forsythe
Party at the time
Democratic Unionist Party
Date
16 September 2025
Type
Debate contribution
Business
Oral Answers to Questions
Heading
Sexually Explicit Deepfake Images
Assembly identifier
Official Report component 5111226

Read the official Assembly record

Text

I thank the Minister for her answers and for her work in the area. As someone who was a victim of a deepfake some three and a half years ago, I welcome the opportunity to work with the Minister on a number of round-table discussions to take things forward on that. As I said, that happened three and a half years ago. It is hard to believe that it is so long ago, but it opened my eyes to how much the PSNI's hands are tied by the limitations in the law on making prosecutions on electronic offences, and it made me particularly concerned for my children and other children when thinking about the safeguards that will be in place when fake images go into mass circulation. What is the Minister's view on how we can keep the law up to date in the digital age?

146 words. Text as published by the Northern Ireland Assembly.

Assessment

Not flagged

Jev’s structured answers met the documented threshold for “not flagged”.

  • Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.04 (flagging needs at least 0.70; at or below 0.30 is not flagged).
  • None of the five culture-war criteria was met (each was below 0.60).
  • Assessed as legitimate policy scrutiny (0.91).
  • No identity-based framing was identified (1.00).
  • Subject area: Sexism, misogyny, ageism and other equality groups.
  • The overall probability was at or below the not-flagging threshold.

This is an AI-generated assessment of the text, made against published criteria. It is not a finding of fact about the MLA or their intentions. The Assembly record itself is the fact.

Jev’s structured answers

Probability that each statement is true of this text (0 = no, 1 = yes). A criterion counts as met at 0.60 or above.
QuestionProbabilityMet?
Identity framing0.03No
Sectarian or communal antagonism0.02No
Cultural grievance politics0.01No
Dog-whistle messaging0.02No
Controversy escalation0.04No
Legitimate policy scrutiny0.91Yes
Overall judgement0.04At or below not-flagging threshold
Context and attribution (stance)
OptionProbability
No identity-based framing (chosen)1.00
Reports or questions it0.00
Criticises or condemns it0.00
Adopts it0.00
Subject area (top five)
SubjectProbability
Sexism, misogyny, ageism and other equality groups0.44
Gender, sexuality, abortion and related social issues0.36
No identity-related subject0.19
Another identity-related subject0.01
Flags, emblems, symbols, names and memorials0.00

Assessed 21 October 2026 at 13:13 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

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