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The AI Canvas - The AI Canvas -  Exploring AI Art Evolution: Copyright and Fair Use with Elena Gurevich

The AI Canvas - Exploring AI Art Evolution: Copyright and Fair Use with Elena Gurevich

07/12/23 • 101 min

The AI Canvas

In this episode of The AI Canvas, host David Foster welcomes Elena Gurevich, a brilliant Blockchain expert and AI Curious Intellectual Property Attorney. They explore AI-generated art, discussing copyright challenges, the coexistence of AI and human creativity, and ethical considerations.
Join the conversation as Elena shares insights on NFTs, the velocity of AI art generation, and the need for international regulation. The discussion also address misconceptions about Generative AI models and the emotional aspect of artists' claims.
Don't miss this captivating conversation on The AI Canvas! Tune in to gain inspiration and unravel the possibilities of AI in art.
Time stamps:
00:33 - Introduction of Elena Gurevich and her background in IP law and interest in generative AI.
04:02 - Emergence of NFTs and digital art during the pandemic.
10:26 - Importance of velocity in AI art generation and copyright issues.
11:55 - Introduction to AI-generated art and potential implications.
12:23 - Summary of copyright implications in AI art.
17:07 - Misunderstanding of generative AI models and emotional aspect of artists' claims.
20:24 - Fair use and its application to generative AI.
25:22 - Need for international alignment in AI art regulation.
36:15 - Critical thinking, coexistence of AI and human creativity.
37:13 - Emphasis on human creativity and limitations of AI.
38:38 - Differentiation between AI art and human inspiration.
45:17 - Impact of AI on interactions and education.
53:50 - Copyrighting challenges for AI-generated art.
56:03 - Challenges in authorship and originality in AI-generated works.
59:47 - Ethical considerations of AI-generated art and societal impact.
01:02:35 - Challenges of copyrighting AI-generated artworks.
01:08:14 - Potential use of blockchain for art attribution and regulations.
01:13:25 - Balancing AI and human creativity in the art world.
01:18:10 - AI's role in expanding access to art and culture.
01:22:45 - AI assisting artists in the creative process and pushing boundaries.
01:29:03 - Future possibilities and advancements in AI-generated art.
Connect with Elena Gurevich

Connect with David Foster
Follow ADSP on LinkedIn for more AI insights and discussions.
ADSP is an innovative consultancy dedicated to delivering value through the application of Data Science, AI and Generative AI. We build bespoke solutions that enable people and companies to thrive.
Check out our website here
For access to the condensed notes and full transcript, including key quotes and takeaways please get in touch at [email protected]
Subscribe to the AI Canvas podcast for more exciting episodes exploring the intersection of AI and various industries.

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In this episode of The AI Canvas, host David Foster welcomes Elena Gurevich, a brilliant Blockchain expert and AI Curious Intellectual Property Attorney. They explore AI-generated art, discussing copyright challenges, the coexistence of AI and human creativity, and ethical considerations.
Join the conversation as Elena shares insights on NFTs, the velocity of AI art generation, and the need for international regulation. The discussion also address misconceptions about Generative AI models and the emotional aspect of artists' claims.
Don't miss this captivating conversation on The AI Canvas! Tune in to gain inspiration and unravel the possibilities of AI in art.
Time stamps:
00:33 - Introduction of Elena Gurevich and her background in IP law and interest in generative AI.
04:02 - Emergence of NFTs and digital art during the pandemic.
10:26 - Importance of velocity in AI art generation and copyright issues.
11:55 - Introduction to AI-generated art and potential implications.
12:23 - Summary of copyright implications in AI art.
17:07 - Misunderstanding of generative AI models and emotional aspect of artists' claims.
20:24 - Fair use and its application to generative AI.
25:22 - Need for international alignment in AI art regulation.
36:15 - Critical thinking, coexistence of AI and human creativity.
37:13 - Emphasis on human creativity and limitations of AI.
38:38 - Differentiation between AI art and human inspiration.
45:17 - Impact of AI on interactions and education.
53:50 - Copyrighting challenges for AI-generated art.
56:03 - Challenges in authorship and originality in AI-generated works.
59:47 - Ethical considerations of AI-generated art and societal impact.
01:02:35 - Challenges of copyrighting AI-generated artworks.
01:08:14 - Potential use of blockchain for art attribution and regulations.
01:13:25 - Balancing AI and human creativity in the art world.
01:18:10 - AI's role in expanding access to art and culture.
01:22:45 - AI assisting artists in the creative process and pushing boundaries.
01:29:03 - Future possibilities and advancements in AI-generated art.
Connect with Elena Gurevich

Connect with David Foster
Follow ADSP on LinkedIn for more AI insights and discussions.
ADSP is an innovative consultancy dedicated to delivering value through the application of Data Science, AI and Generative AI. We build bespoke solutions that enable people and companies to thrive.
Check out our website here
For access to the condensed notes and full transcript, including key quotes and takeaways please get in touch at [email protected]
Subscribe to the AI Canvas podcast for more exciting episodes exploring the intersection of AI and various industries.

Previous Episode

undefined - The AI Canvas - The Legal Implications of Generative AI with Matt Hervey

The AI Canvas - The Legal Implications of Generative AI with Matt Hervey

In this intriguing episode of the AI Canvas podcast, host David Foster engages in an insightful conversation with Matt Hervey, an expert in AI and IP law. Together, they explore the complex relationship between artificial intelligence and intellectual property rights, covering patenting technology, copyright law, challenges in commercializing AI models, ownership of AI-generated content, and more.
Join David and Matt as they navigate the landscape of AI innovation and its impact on the legal sphere. Gain insights into major topics on the minds of IP lawyers and the challenges posed by Generative AI, image manipulation, and deepfakes. Discover the future trends and considerations in AI art, including ownership arrangements and legal requirements.
Tune in to this enlightening discussion with Matt Hervey, an expert in AI and IP law, as they unravel the intricacies of AI and its legal implications.
Timestamps:
00:00 Introduction and welcome
03:10 Patenting technology and commercial deals in AI
07:25 Fair use and copyright law in the US
11:40 Challenges in commercializing AI models
16:15 Questions about copying, models, and outputs in generative AI
21:05 Predicting future legal cases and the role of judges
26:20 Image manipulation, deepfakes, and proving authenticity
31:00 Ownership of AI-generated content
35:45 Debates and considerations regarding ownership
40:10 Legal requirements and considerations for AI-generated art
44:20 Risks and concerns for businesses using AI models
48:30 Copyright protection for human-produced content
52:10 Labeling AI-generated content in metadata
56:00 Gray areas in copyright and creative processes involving AI
59:30 Copyright infringement and proving copying
1:03:20 Conclusion
Connect with Matt Hervey

Connect with David Foster
Follow ADSP on LinkedIn for more AI insights and discussions.
ADSP is an innovative consultancy dedicated to delivering value through the application of Data Science, AI and Generative AI. We build bespoke solutions that enable people and companies to thrive.
Check out our website here
For access to the condensed notes and full transcript, including key quotes and takeaways please get in touch at [email protected]
Subscribe to the AI Canvas podcast for more exciting episodes exploring the intersection of AI and various industries.

Next Episode

undefined - The AI Canvas - Navigating the Complexities of AI: A conversation with Chris Stokel-Walker

The AI Canvas - Navigating the Complexities of AI: A conversation with Chris Stokel-Walker

In this captivating episode of the AI Canvas podcast, host David Foster engages in a compelling conversation with technology journalist Chris Stokel-Walker. Together, they delve into a wide range of topics related to AI and its impact on various aspects of society.
Chris discusses the concerns surrounding the use of ChatGPT and the potential risk of incorrect information. He also highlights the limitations of information summarisation in journalism. Furthermore, they explore the role of AI tools like ChatGPT as a starting point for writing and the challenges of aligning large language models with truth.
The conversation takes a deep dive into the battle between genuine journalism and deception, emphasising the impact of misinformation and the challenges faced by journalists in debunking fake news.
Join us for this enlightening episode as we explore the evolving landscape of AI and its profound implications. Tune in now to gain valuable insights and perspectives from Chris, a leading voice in the field of technology journalism
15:47 - Chris's concern about using ChatGPT and the risk of having incorrect information
19:16 - The use of ChatGPT for information summarization and the limitations in journalism
23:22 - Chris's discussion on using ChatGPT as a starting point for writing and filling in details
27:28 - The concern about potential societal laziness and outsourcing of thinking with the rise of AI tools
29:13 - The concern about misinformation and the battle between genuine journalism and deception
32:54 - The impact of misinformation and the challenges faced by journalists in debunking fake news
34:27 - The potential futility of fighting back against misinformation due to its widespread proliferation
36:41 - The discussion on aligning large language models to truth and the challenges of defining "truth"
52:54 - The impact of language and the reverse causality between language and intelligence
56:42 - The mystical concept of language models exhibiting emerging capabilities
58:47 - The idea of autoregressive models and next token prediction
01:00:25 - Speculating on the future of AI in the next five years
01:03:34 - Competition among big tech platforms in developing the best LLM
01:04:00 - The skepticism around Apple glasses and the concept of living in a metaverse
01:06:34 - The need for regulation in the AI industry and the challenges of government regulation
01:09:52 - The potential challenges of AI regulation keeping up with the rapid pace of AI development
Connect with Chris Stokel-Walker

Connect with David Foster
Follow ADSP on LinkedIn for more AI insights and discussions.
ADSP is an innovative consultancy dedicated to delivering value through the application of Data Science, AI and Generative AI. We build bespoke solutions that enable people and companies to thrive.
Check out our website here
For access to the condensed notes and full transcript, including key quotes and takeaways please get in touch at [email protected]
Subscribe to the AI Canvas podcast for more exciting episodes exploring the intersection of AI and various industries.

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