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Digital Omnibus legislative tracker
Texts to 22 Oct 2026

Digital Omnibus proposal· Recital 30

Text

Recital 30 Digital Omnibus proposal as printed in the Council text of 22 October 2026

Source Council, 22 October 2026. Recital 30: ST 14756/26, page 29 · exact text page

Dropped

How the recital changed

Each text against the text before it

Recital Commission19 Nov 2025Rec 30Council21 May 2026Council10 Jun 2026Council18 Jun 2026Council3 Sep 2026Council2 Oct 2026Rec 30Council22 Oct 2026Rec 30
Compared withlaw in forcethe proposal21 May text10 Jun text18 Jun text3 Sep text2 Oct text
Recital 30 30 Added In neither text In neither text In neither text In neither text 30 Dropped 30 Dropped

Each text against the text before it: +Added in this text, not in the text before−Dropped drops a provision the text before added— in neither text

Parliament amendments propose other recitals under these numbers: Recital 30a (new), Recital 30b (new) and Recital 30c (new).

Parliament amendments

19 amendments to this recital

9 amendments would delete the whole recital: members of The Left, S&D, Greens/EFA, Renew and non-attached members, and the IMCO rapporteur.

By political group; co-sponsored amendments count for each group
TypeThe LeftS&DGreens/EFARenewEPPECRPfENIRapporteur
− Deletion2131···11
~ Alternative····5511·

By political group

  • − Deletion The Left 2 S&D 1 Greens/EFA 3 Renew 1 NI 1 Rapporteur 1
  • ~ Alternative EPP 5 ECR 5 PfE 1 NI 1

Show

  1. 18 Deletion Alex Agius Saliba (rapporteur)Rapporteur · IMCO Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Rapporteur
    Alex Agius Saliba
    Group
    Rapporteur
    Targets
    Digital Omnibus proposal Recital 30
    Document
    IMCO draft opinion
    Printed header
    Recital 30
  2. 116 Deletion David CormandGreens/EFA · JURI Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    David Cormand
    Group
    Greens/EFA
    Targets
    Digital Omnibus proposal Recital 30
    Document
    JURI amendments 69–296 to the draft opinion
    Printed header
    Recital 30
  3. 161 Deletion David CormandGreens/EFA · IMCO Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    David Cormand on behalf of the Verts/ALE Group
    Group
    Greens/EFA
    Targets
    Digital Omnibus proposal Recital 30
    Document
    IMCO amendments 125–328 to the draft opinion
    Printed header
    Recital 30
  4. 162 Alternative Arba KokalariEPP · IMCO “To develop and use reliable AI systems, it is necessary to improve access to qualitative data in Europe”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. To develop and use reliable AI systems, it is necessary to improve access to qualitative data in Europe. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Arba Kokalari
    Group
    EPP
    Targets
    Digital Omnibus proposal Recital 30
    Document
    IMCO amendments 125–328 to the draft opinion
    Printed header
    Recital 30
  5. 163 Alternative Piotr MüllerECR · IMCO “including general-purpose AI models as defined in Article 3, point (63), of Regulation (EU) 2024/1689”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models, including general-purpose AI models as defined in Article 3, point (63), of Regulation (EU) 2024/1689, rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Piotr Müller
    Group
    ECR
    Targets
    Digital Omnibus proposal Recital 30
    Document
    IMCO amendments 125–328 to the draft opinion
    Printed header
    Recital 30
  6. 164 Alternative Sophia KircherEPP · IMCO “enhancing the Union’s long-term competitiveness, achieving strategic autonomy”

    (30) Trustworthy AI is key in providing for economic growth, enhancing the Union’s long-term competitiveness, achieving strategic autonomy and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Sophia Kircher
    Group
    EPP
    Targets
    Digital Omnibus proposal Recital 30
    Document
    IMCO amendments 125–328 to the draft opinion
    Printed header
    Recital 30
  7. 251 Deletion Sibylle Berg +1NI · ITRE–LIBE Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Sibylle Berg, Martin Sonneborn
    Group
    NI
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  8. 252 Deletion João OliveiraThe Left · ITRE–LIBE Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    João Oliveira
    Group
    The Left
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  9. 253 Deletion Pernando Barrena ArzaThe Left · ITRE–LIBE Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Pernando Barrena Arza
    Group
    The Left
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  10. 254 Deletion Marina Kaljurand +8S&D · ITRE–LIBE Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Marina Kaljurand, Elena Sancho Murillo, Brando Benifei, Birgit Sippel, Alex Agius Saliba, Francisco Assis, Elisabeth Grossmann, Kristian Vigenin, Matjaž Nemec
    Group
    S&D
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
Show 9 more amendments
  1. 255 Deletion Irena Joveva +5Renew · ITRE–LIBE Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Irena Joveva, Michael McNamara, Raquel García Hermida-Van Der Walle, Oihane Agirregoitia Martínez, Veronika Cifrová Ostrihoňová, Fabienne Keller
    Group
    Renew
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  2. 256 Deletion Markéta GregorováGreens/EFA · ITRE–LIBE Deletes the recital

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Markéta Gregorová on behalf of the Verts/ALE Group
    Group
    Greens/EFA
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  3. 257 Alternative Julie Rechagneux +7ECR, PfE · ITRE–LIBE “Such processing shall not benefit from any presumption of lawfulness and remains subject to a balancing test carried out on a case-by-case basis. The…”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and personal data may, in some instances, be retainedextracted infrom, regurgitated by, or inferred from the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest pursued by the controller or by a third party, including the provider of a pre-trained model, within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. Such processing shall not benefit from any presumption of lawfulness and remains subject to a balancing test carried out on a case-by-case basis. The fact that a system or model is presented as producing anonymised data shall not, in itself, exclude the application of that Regulation where personal data may be extracted from, or inferred from, that system or model by means reasonably likely to be used. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Justification

    Two corrections. First, the notions of ‘retained’, ‘memorised’ or ‘stored’ data mischaracterise how AI models function: what matters legally is whether personal data can be extracted from, regurgitated by, or inferred from the model. Second, the reference to third-party legitimate interest, which has existed since 1995, secures the position of downstream SMEs deploying pre-trained models, while the explicit refusal of any presumption of lawfulness preserves the in concreto balancing required by the Court (C-252/21).

    Tabled by
    Julie Rechagneux, Mélanie Disdier, Aleksandar Nikolic, Pierre-Romain Thionnet, Alexandre Varaut, Fabrice Leggeri, Marion Maréchal, Christophe Bay
    Group
    ECR, PfE
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  4. 258 Alternative Sebastian Tynkkynen +1ECR · ITRE–LIBE “High-quality European data is therefore essential to close this gap, strengthen the Union’s innovative capacity, enable the training of competitive…”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. Europe faces a significant gap in AI development and deployment compared to global leaders, particularly the United States and China, which risks undermining the Union’s long-term competitiveness and innovative capacity. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. High-quality European data is therefore essential to close this gap, strengthen the Union’s innovative capacity, enable the training of competitive AI models by European businesses and researchers, and reduce dependence on non-European data and technology providers. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Sebastian Tynkkynen, Diego Solier
    Group
    ECR
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  5. 259 Alternative Verena MertensEPP · ITRE–LIBE “This Regulation shall not apply to AI systems developed exclusively by competent authorities within the meaning of Directive (EU) 2016/680 for their…”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. This Regulation shall not apply to AI systems developed exclusively by competent authorities within the meaning of Directive (EU) 2016/680 for their own operational use in the prevention, detection, investigation or prosecution of criminal offences, provided that such systems are not placed on the market or made available to third parties. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Verena Mertens
    Group
    EPP
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  6. 260 Alternative Diana Iovanovici ŞoşoacăNI · ITRE–LIBE “without affecting citizens’ jobs, any replacement of a person with AI is strictly forbidden”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes, without affecting citizens’ jobs, any replacement of a person with AI is strictly forbidden. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met. It is also without prejudice to fundamental human rights and freedoms.

    Tabled by
    Diana Iovanovici Şoşoacă
    Group
    NI
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  7. 261 Alternative Tomas Tobé +2EPP · ITRE–LIBE “To develop and use reliable AI systems, it is necessary to improve access to qualitative data in Europe”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. To develop and use reliable AI systems, it is necessary to improve access to qualitative data in Europe. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Tabled by
    Tomas Tobé, Arba Kokalari, Jörgen Warborn
    Group
    EPP
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  8. 262 Alternative Zala Černilec Tomašič +8EPP, ECR · ITRE–LIBE “of the controller or a third party”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest of the controller or a third party within the meaning of Article 6(1)(f) of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met.

    Justification

    This amendment aligns Recital (30) with Article 88c by clarifying that legitimate interests under Article 6(1)(f) GDPR may be pursued by both controllers and third parties. It removes ambiguity for AI supply chains, ensures consistency between the recital and the operative text, and replaces the broad reference to ‘Article 6’ with the more precise reference to Article 6(1)(f), improving legal certainty and coherent interpretation.

    Tabled by
    Zala Černilec Tomašič, Jan Farský, Ondřej Krutílek, Tomáš Zdechovský, Michał Wawrykiewicz, Henrik Dahl, Alexandr Vondra, Veronika Vrecionová, Lukas Mandl
    Group
    EPP, ECR
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30
  9. 263 Alternative Francesco TorselliECR · ITRE–LIBE “(The intention is to remove the words ‘where appropriate’)”

    (30) Trustworthy AI is key in providing for economic growth and supporting innovation with socially beneficial outcomes. The development and use of AI systems and the underlying models such as large language models and generative video models rely on data, including personal data, in various phases in the AI lifecycle, such as the training, testing and validation phase and may in some instances be retained in the AI system or the AI model. The processing of personal data in this context may therefore be carried out for purposes of a legitimate interest within the meaning of Article 6 of Regulation (EU) 2016/679, where appropriate. This does not affect the obligation of the controller to ensure that the development or use (deployment) of AI in a specific context or for specific purposes complies with other Union or national law, or to ensure compliance where its use is explicitly prohibited by law. It also does not affect its obligation to ensure that all other conditions of Article 6(1)(f) of Regulation (EU) 2016/679 as well as all other requirements and principles of that Regulation are met. (The intention is to remove the words "where appropriate")

    Tabled by
    Francesco Torselli
    Group
    ECR
    Targets
    Digital Omnibus proposal Recital 30
    Document
    ITRE–LIBE amendments 251–400 to the draft report
    Printed header
    Recital 30