Trust in Digital Worlds
Authenticity in the Age of AI
As individuals and organizations increasingly leverage (generative) artificial intelligence to create immersive digital environments, establishing trust and transparency in these AI-enhanced worlds has become paramount to successful adoption. The convergence of multi-modal platforms, digital twins, robotics, synthetic data generation, and deep learning capabilities presents both unprecedented opportunities and complex challenges in maintaining authenticity and reliability across virtual and physical domains.
Generative AI for creative expression is distinct from AI adoption by practitioners in health care (inc. elder care). However, the benefits of AI/ML in augmenting workflows such as medical diagnostics, where efficient data-driven decision-making and environmental context is critical, has been profound.
This upcoming workshop will bring together thought leaders to explore a proposed framework to build user trust in AI-enhanced environments and discuss use cases in creative, industrial and business sectors. We will examine implementation strategies that bridge the gap between innovation and real-world accountability while ensuring sustainable growth in this dynamic landscape.
WORKSHOP AGENDA
Session 1: Introductions and Context
Kickoff (10 minutes)
● Welcome, Introductions and Overview of Workshop Objectives
Setting the Stage: AI and the Shifting Landscape of Authenticity (20 minutes)
● AI Technology Discussion:
○ AI > ML > Deep Learning > Generative AI
○ Impact of Generative AI, particularly in content creation (image, text, audio, video)
○ Generative AI tools and frameworks
Archival Producers Alliance (APA): Best Practices for Use of Generative AI in Documentaries
The Legal and Regulatory Landscape (20 minutes)
● Legal/Policy Discussion:
○ Overview of existing copyright laws and their limitations in the context of AI
If a documentary filmmaker uses AI to generate images or footage, who owns the copyright to that content?
Can AI-generated content be used freely in a documentary, even if it's derived from copyrighted material?
How can documentary filmmakers ensure they are not infringing copyright when using AI tools?
○ Discuss ongoing debates and legal cases regarding authorship, copyright infringement, and fair use in relation to AI-generated content
○ Emerging regulations and policy considerations addressing the use of AI in creative industries
Group Discussion: Defining Authenticity in the Age of AI (10 minutes)
● What does authenticity mean in the context of AI-generated content?
● How do we distinguish between human and AI creativity?
● What are the ethical implications of AI-generated content that imitates human styles?
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Session 2: AI Documentaries (1 hour)
● Future of Content Authenticity: AI Documentaries, Biopics, Interactive Content (15 minutes)
○ What role could AI play in enhancing or hindering the pursuit of authenticity in our personal and societal narratives?
○ How might we leverage AI to explore and document diverse perspectives and lived experiences?
○ How can AI enhance storytelling, visual aesthetics, and audience engagement in documentaries
AI in Documentary Filmmaking (20 minutes)
Presentation by Filmmaker/Creator:
○ Showcase examples of documentaries utilizing AI technology
○ Discussion on the use of AI in various stages of production (research, editing, sound design)
○ Ethical considerations: transparency, bias, manipulation
● Breakouts (25 minutes)
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Session 3: Attribution and Guidelines (1 hour)
●Attribution and Provenance: Ensuring Transparency and Accountability (30 minutes)
Presentation by AI Technology Expert
○ Introduction to existing initiatives for content labeling and provenance tracking, such as Trufo and the Coalition for Content Provenance and Authenticity
○ How these technologies work: watermarks, fingerprints, metadata, and cryptographic proof
○ Demonstration of content labeling tools and platforms
○ The role of AI detectors in identifying AI-generated content
● Developing Best Practices and Guidelines (30 minutes)
● Facilitated Roundtable Discussion
○ What are the essential elements of responsible AI development and deployment?
○ What are the key considerations for attribution and transparency in AI-generated content?
○ How can we ensure fair use and protect creators' rights while fostering AI innovation?
○ What role should education and public awareness play in shaping ethical AI practices?
○ How can we establish guidelines for creators, developers, and platforms to promote authenticity and responsible AI usage?
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Session 4: Q&A, Wrap-Up (1 hour)
● Open Q&A (45 minutes)
● Address audience questions and facilitate further discussion on the workshop themes.
● Wrap-Up and Key Takeaways (15 minutes)
● Summarize key points and insights
● Highlight avenues for future research, collaboration, and action.
