{
  "metadata": {
    "title": "Reconceptualising Authorship in the Age of Generative AI: A Theoretical Review",
    "work_type": "term_paper",
    "research_type": "theoretical",
    "language": "english",
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    "duration_minutes": 10,
    "target_slide_count": 12,
    "paper_summary": "This theoretical paper argues that generative AI intensifies pre-existing instabilities in authorship rather than creating an entirely new crisis, and that no single framework — legal-copyright, intentionalist-philosophical, or posthumanist-assemblage — is individually sufficient to govern AI-mediated academic writing. By placing these three traditions in comparative dialogue, the paper maps where each framework strains and why. It proposes reconceiving authorship as a transparency-regulated continuum of human-AI epistemic delegation as the most analytically coherent path forward for academic integrity governance. Visual motif: diagram_idea, reflecting the paper's framework-mapping and synthesis orientation."
  },
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  "slides": [
    {
      "index": 1,
      "layout": "title",
      "section": "title",
      "title": "Reconceptualising Authorship in the Age of Generative AI",
      "subtitle": "A Theoretical Review",
      "bullets": [],
      "visual": {
        "type": "none",
        "items": [],
        "caption": null,
        "description": null
      },
      "speaker_notes": "Welcome the audience and introduce the paper's central concern: that generative AI has not invented the authorship problem but has made it impossible to ignore. Flag that the talk will move through three theoretical traditions before arriving at a synthesised governance proposal.",
      "estimated_duration_seconds": 30
    },
    {
      "index": 2,
      "layout": "bullets",
      "section": "introduction",
      "title": "Authorship Was Never Settled",
      "subtitle": null,
      "bullets": [
        "Debates predate AI: literary theory, philosophy, IP law all contested authorship.",
        "Behzadi et al. (2015): authorship historically encompassed collaborative and revisionary functions.",
        "The solitary originating author is a recent, culturally specific ideal.",
        "Knöchelmann (2023): recognition for intellectual labour remains a 'central struggle'.",
        "Generative AI makes latent instabilities practically urgent — not philosophically new."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Pre-modern collaborative authorship"
          },
          {
            "label": "Romantic solitary-author ideal"
          },
          {
            "label": "Poststructuralist critique"
          },
          {
            "label": "Generative AI pressure"
          }
        ],
        "caption": "Historical arc of authorship instability",
        "description": null
      },
      "speaker_notes": "Establish that the paper's starting point is historical, not alarmist. Authorship has always been contested across cultures and disciplines. The AI moment is significant not because it is unprecedented but because it forces institutions to act on instabilities they could previously afford to ignore.",
      "estimated_duration_seconds": 60
    },
    {
      "index": 3,
      "layout": "stat_callout",
      "section": "research_question",
      "title": "The Central Question",
      "subtitle": null,
      "bullets": [
        "How do competing frameworks conceptualise authorship when AI mediates academic writing?",
        "Goal: map explanatory limits of each tradition, not declare a winner.",
        "Five supporting claims structure the argument."
      ],
      "visual": {
        "type": "stat",
        "items": [
          {
            "value": "3 Frameworks",
            "caption": "Legal-copyright · Intentionalist · Posthumanist — each insufficient alone"
          }
        ],
        "caption": null,
        "description": null
      },
      "speaker_notes": "State the research question clearly and signal the paper's comparative, synthetic method. Emphasise that the aim is not to pick a winning framework but to identify where each breaks down and what a synthesis can offer that none can provide individually.",
      "estimated_duration_seconds": 50
    },
    {
      "index": 4,
      "layout": "bullets",
      "section": "literature_review",
      "title": "Framework 1: Legal-Copyright Tradition",
      "subtitle": null,
      "bullets": [
        "Requires human author, original creative act, and identifiable legal person.",
        "Structurally anthropocentric — cannot extend to non-human generative processes.",
        "Fenwick & Jurcys (2023): AI-generated works leave ownership unsettled across jurisdictions.",
        "Provisional responses: deny protection, attribute to operator, or defer to legislation.",
        "Provides institutional clarity but purchases it at the cost of conceptual flexibility."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Human author required"
          },
          {
            "label": "Original creative act"
          },
          {
            "label": "Legal personhood"
          },
          {
            "label": "Regulatory ambiguity for AI output"
          }
        ],
        "caption": "Copyright doctrine's chain of requirements — and where it breaks",
        "description": null
      },
      "speaker_notes": "Walk through copyright doctrine's core requirements and show how each one becomes procedurally unstable when substantial text generation is delegated to an LLM. Stress that the problem is structural, not a gap that minor legislative tweaks can close.",
      "estimated_duration_seconds": 65
    },
    {
      "index": 5,
      "layout": "bullets",
      "section": "literature_review",
      "title": "Framework 2: Intentionalist Tradition",
      "subtitle": null,
      "bullets": [
        "Authorial meaning located in purposive mental states of a human agent.",
        "Barthes (2017) and Foucault (2019) already destabilised the unified author-subject.",
        "LLMs produce argumentative structure and disciplinary claims without intention.",
        "Rodrigues (2025): AI delegation challenges the epistemology of authorship itself.",
        "Preserves moral weight of responsibility but depends on eroded cognitive-sovereignty model."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Human intention"
          },
          {
            "label": "Textual meaning"
          },
          {
            "label": "Authorial responsibility"
          },
          {
            "label": "Disrupted by LLM generation"
          }
        ],
        "caption": "Intentionalism's causal chain and its AI-era rupture point",
        "description": null
      },
      "speaker_notes": "Explain that intentionalism is not simply naive — it does real normative work by anchoring responsibility. The problem is that its presupposition of a unified cognitive agent is undermined when argumentative structure and disciplinary claims may originate in a statistical model.",
      "estimated_duration_seconds": 65
    },
    {
      "index": 6,
      "layout": "bullets",
      "section": "literature_review",
      "title": "Framework 3: Posthumanist-Assemblage Tradition",
      "subtitle": null,
      "bullets": [
        "Agency is emergent across human, algorithmic, institutional, and material actors.",
        "Zeilinger (2021): AI art entangles aesthetics with law and capital — not just creativity.",
        "Adema (2021): advocates anonymous collaborative and processual authorship models.",
        "Accurately describes distributed text production in human-AI collaboration.",
        "Risk: dissolves accountability to the point of unassignability."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Human researcher"
          },
          {
            "label": "LLM + training data"
          },
          {
            "label": "Institutional constraints"
          },
          {
            "label": "Distributed authorial agency"
          }
        ],
        "caption": "Assemblage model: agency spread across the network",
        "description": null
      },
      "speaker_notes": "Acknowledge that posthumanism is the most theoretically accurate description of how AI-assisted texts are actually produced. The critical limitation is governance: if no single actor is the author, no single actor can be held responsible for fabrication, error, or misrepresentation.",
      "estimated_duration_seconds": 65
    },
    {
      "index": 7,
      "layout": "bullets",
      "section": "discussion",
      "title": "Where All Three Frameworks Strain",
      "subtitle": "A convergence of limits",
      "bullets": [
        "Each tradition breaks at the same point: locating epistemic responsibility.",
        "Fathallah (2017): the 'legitimation paradox' — AI users claim authorship within frameworks their practice undermines.",
        "Birkstedt et al. (2023): AI governance remains fragmented, lacking explicit definitions.",
        "Tools that generate claims differ categorically from tools that convey them.",
        "No single framework can repair the conceptual vacuum institutions now face."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Legal: ownership ambiguity"
          },
          {
            "label": "Intentionalist: no unified agent"
          },
          {
            "label": "Posthumanist: no accountable locus"
          },
          {
            "label": "Shared failure: epistemic responsibility"
          }
        ],
        "caption": "Three traditions, one convergent breakdown point",
        "description": null
      },
      "speaker_notes": "This is the analytical pivot of the paper. Show that the three frameworks are not simply different answers to the same question — they are partial responses to different dimensions of the same problem, and they all fail at the same underlying issue of epistemic accountability.",
      "estimated_duration_seconds": 70
    },
    {
      "index": 8,
      "layout": "stat_callout",
      "section": "discussion",
      "title": "The Synthesis: A Continuum Model",
      "subtitle": null,
      "bullets": [
        "Authorship reconceived as a transparency-regulated continuum of human-AI delegation.",
        "Bajohr (2024): 'causal authorship' — distance between human and machine in the creative process.",
        "Short causal distance: human supplies question, evaluates, revises, takes responsibility.",
        "Wide distance: minimal engagement — epistemic contribution becomes unidentifiable."
      ],
      "visual": {
        "type": "stat",
        "items": [
          {
            "value": "Continuum, not binary",
            "caption": "From full human authorship → full AI delegation — disclosure calibrated to degree"
          }
        ],
        "caption": null,
        "description": null
      },
      "speaker_notes": "Introduce the paper's core proposal. Stress that this is not a compromise between the three frameworks but a reframing: the question shifts from 'who is the author?' to 'how much epistemic work did the human do, and is that transparently disclosed?' Bajohr's causal-distance concept is the key theoretical resource here.",
      "estimated_duration_seconds": 70
    },
    {
      "index": 9,
      "layout": "two_column",
      "section": "discussion",
      "title": "Transparency vs. Radical Deconstruction",
      "subtitle": "Two camps — and where this paper stands",
      "bullets": [
        "Transparency camp (Rodrigues; Israel & Amer): strengthen disclosure within existing frameworks.",
        "Deconstruction camp (Adema; Zeilinger): dismantle the individual-author model entirely.",
        "This paper: accepts the assemblage description, rejects unassignable accountability.",
        "Israel & Amer's MetaScribe: provenance-tracking as one institutional instantiation."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Transparency + disclosure"
          },
          {
            "label": "This paper's synthesis"
          },
          {
            "label": "Processual / anonymous authorship"
          }
        ],
        "caption": "The paper's position between two dominant camps",
        "description": null
      },
      "speaker_notes": "Clarify the paper's uncomfortable middle position. It takes posthumanism seriously as a descriptive account while insisting that accountability cannot be distributed to the point of unassignability. The ghost-writing analogy is useful: what is at stake is not the origin of words but the authenticity of epistemic commitment.",
      "estimated_duration_seconds": 65
    },
    {
      "index": 10,
      "layout": "bullets",
      "section": "discussion",
      "title": "Implications for Academic Integrity",
      "subtitle": null,
      "bullets": [
        "Originality must be reconceived as relational, not intrinsic.",
        "Transparency of AI participation — not origin-based originality — is the operative standard.",
        "Policies calibrated to degree of delegation, not a bright tool-vs-ghostwriter line.",
        "Henrickson (2021): authorship-to-generatorship spectrum maps the graduated reality.",
        "Individual accountability for epistemic claims remains non-negotiable."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Disclose AI role"
          },
          {
            "label": "Specify degree of delegation"
          },
          {
            "label": "Human accountable for claims"
          },
          {
            "label": "Integrity preserved"
          }
        ],
        "caption": "Transparency-regulated continuum in institutional practice",
        "description": null
      },
      "speaker_notes": "Translate the theoretical synthesis into concrete governance implications. Emphasise that the continuum model does not lower standards — it redirects them from policing word origins to ensuring that the human author can genuinely stand behind the epistemic commitments the text makes.",
      "estimated_duration_seconds": 65
    },
    {
      "index": 11,
      "layout": "bullets",
      "section": "conclusion",
      "title": "Limitations and Future Directions",
      "subtitle": null,
      "bullets": [
        "Entirely theoretical: synthesis is reasoned, not empirically demonstrated.",
        "Literature skews Western, Anglo-American, and literary-legal — limited Global South coverage.",
        "Needed: longitudinal studies of academics' authorship practices as AI embeds.",
        "Needed: comparative work across disciplines with different attribution norms.",
        "Needed: qualitative research on whether disclosure requirements shift epistemic responsibility."
      ],
      "visual": {
        "type": "diagram_idea",
        "items": [
          {
            "label": "Theoretical synthesis"
          },
          {
            "label": "Empirical validation needed"
          },
          {
            "label": "Cross-disciplinary & cross-cultural testing"
          }
        ],
        "caption": "From conceptual mapping to situated, context-sensitive study",
        "description": null
      },
      "speaker_notes": "Be candid about what the paper cannot claim. The synthesis is analytically coherent within its corpus, but it has not been tested against lived academic practice or non-Western contexts. These are not minor caveats — they define the most pressing next steps for the research programme.",
      "estimated_duration_seconds": 55
    },
    {
      "index": 12,
      "layout": "summary",
      "section": "conclusion",
      "title": "Key Takeaways",
      "subtitle": null,
      "bullets": [
        "Generative AI intensifies pre-existing authorship instabilities — it is not a rupture.",
        "No single framework — legal, intentionalist, or posthumanist — is individually sufficient.",
        "Authorship is best understood as a transparency-regulated continuum of epistemic delegation.",
        "Disclosure of AI involvement, not origin-based originality, should govern academic integrity.",
        "Accountability for epistemic claims must remain anchored to an identifiable human agent."
      ],
      "visual": {
        "type": "icon",
        "items": [
          {
            "icon": "git-branch",
            "label": "Continuum model"
          }
        ],
        "caption": null,
        "description": null
      },
      "speaker_notes": "Close by reinforcing that the paper's contribution is synthetic and map-making rather than originary. The fault lines of the authorship debate are now more precisely located — and that precision is what makes productive institutional and scholarly responses tractable. Invite questions.",
      "estimated_duration_seconds": 55
    }
  ]
}