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AI Policy From the UK to the US with Institute of Art and Law's Emily Gould - A 2ND Saturday Conversation

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SHOW NOTES:
0:00 Alan Robertshaw
1:00 Emily Gould - overview of AI historical development
2:30 first phase - 1950s Alan Turing - machines do what they are told
3:10 second phase - machine learning creating models using data and develop methods to make decisions / predictions based on that data
3:50 third phase - deep learning usually using neural networks to mimic the human brain
4:50 GANs - part of third phase that involve generator and discriminator algorithms
5:55 Obvious’ Portrait of Edmond de Belamy
6:40 Robbie Barrett’s code used by Obvious
8:40 unpredictability in the deep learning phase
9:25 different tests applied to determine if a machine is intelligent
9:55 Turing test - machine is intelligent if you can’t tell the difference between responses by a human and a machine
10:10 Lovelace test - machine is intelligent if you can’t explain machine’s answer
11:20 ‘Alpha Go’ algorithm
13:30 uses of AI
14:20 huge training data sets
15:50 major risks with AI include copyright
17:10 privacy and data protection
17:20 transparency - deep fake
17:40 bias amplification
18:15 MIT researcher Joy Buolamwini’s work with facial analysis software
19:45 UK’s pro-innovation approach to AI
21:45 text and data mining (TDM) exception only for non-commercial use - proposal to expand to commercial use
24:25 Nov 2022 government decided not to expand TDM exception to commercial use
24:55 UK Pro-innovation Regulation of Technologies Review
26:45 A pro-innovation approach to AI regulation policy paper - no legislation in the short term, no move to central regulatory body for AI
29:30 AI described in UK white paper as including autonomy and adaptivity
32:25 Global Summit on AI Safety
32:45 EU AI Act with risk—based approach - June 2023 signed off by Parliament; final conclusions expected late 2023; operational circa 2026
36:35 US - AI suits pending
37:00 Robbie Barrett
38:00 opt in versus opt out policy
39:20 Senate testimony regarding UK’s AI advances
40:15 US Task Force on AI Policy proposed; Privacy Consumer Protection Framework
40:45 Getty v. Stability AI suits in US and UK
41:25 2024 elections and AI
44:00 Alan Robertshaw’s case with Getty
47:05 Gould: AI voice scam
48:00 Robertshaw: AI uses
50:20 AI medical screening
53:00 consciousness
56:00 Artist Sofia Crespo’s work with natural history
56:30 Lines and Bones by artist Iskra Velitchkova
56:50 Dawn Chorus Alexandra Dai

Please share your comments and/or questions at stephanie@warfareofartandlaw.com
To hear more episodes, please visit Warfare of Art and Law podcast's website.
Music by Toulme.
To view rewards for supporting the podcast, please visit Warfare's Patreon page.
To leave questions or comments about this or other episodes of the podcast and/or for information about joining the 2ND Saturday discussion on art, culture and justice, please message me at stephanie@warfareofartandlaw.com.
Thanks so much for listening!
© Stephanie Drawdy [2024]

  continue reading

Hoofdstukken

1. Understanding AI Development and Regulation (00:00:00)

2. AI Challenges in Creative Industry (00:12:02)

3. UK Copyright Law and AI Regulation (00:20:26)

4. Copyright Policies and AI in Art (00:38:01)

5. AI's Impact on Medicine and Consciousness (00:50:20)

6. UK Artists' Legal Protection (00:57:39)

137 afleveringen

Artwork
iconDelen
 
Manage episode 375984569 series 2822132
Inhoud geleverd door Stephanie Drawdy. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Stephanie Drawdy of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Send us a text

SHOW NOTES:
0:00 Alan Robertshaw
1:00 Emily Gould - overview of AI historical development
2:30 first phase - 1950s Alan Turing - machines do what they are told
3:10 second phase - machine learning creating models using data and develop methods to make decisions / predictions based on that data
3:50 third phase - deep learning usually using neural networks to mimic the human brain
4:50 GANs - part of third phase that involve generator and discriminator algorithms
5:55 Obvious’ Portrait of Edmond de Belamy
6:40 Robbie Barrett’s code used by Obvious
8:40 unpredictability in the deep learning phase
9:25 different tests applied to determine if a machine is intelligent
9:55 Turing test - machine is intelligent if you can’t tell the difference between responses by a human and a machine
10:10 Lovelace test - machine is intelligent if you can’t explain machine’s answer
11:20 ‘Alpha Go’ algorithm
13:30 uses of AI
14:20 huge training data sets
15:50 major risks with AI include copyright
17:10 privacy and data protection
17:20 transparency - deep fake
17:40 bias amplification
18:15 MIT researcher Joy Buolamwini’s work with facial analysis software
19:45 UK’s pro-innovation approach to AI
21:45 text and data mining (TDM) exception only for non-commercial use - proposal to expand to commercial use
24:25 Nov 2022 government decided not to expand TDM exception to commercial use
24:55 UK Pro-innovation Regulation of Technologies Review
26:45 A pro-innovation approach to AI regulation policy paper - no legislation in the short term, no move to central regulatory body for AI
29:30 AI described in UK white paper as including autonomy and adaptivity
32:25 Global Summit on AI Safety
32:45 EU AI Act with risk—based approach - June 2023 signed off by Parliament; final conclusions expected late 2023; operational circa 2026
36:35 US - AI suits pending
37:00 Robbie Barrett
38:00 opt in versus opt out policy
39:20 Senate testimony regarding UK’s AI advances
40:15 US Task Force on AI Policy proposed; Privacy Consumer Protection Framework
40:45 Getty v. Stability AI suits in US and UK
41:25 2024 elections and AI
44:00 Alan Robertshaw’s case with Getty
47:05 Gould: AI voice scam
48:00 Robertshaw: AI uses
50:20 AI medical screening
53:00 consciousness
56:00 Artist Sofia Crespo’s work with natural history
56:30 Lines and Bones by artist Iskra Velitchkova
56:50 Dawn Chorus Alexandra Dai

Please share your comments and/or questions at stephanie@warfareofartandlaw.com
To hear more episodes, please visit Warfare of Art and Law podcast's website.
Music by Toulme.
To view rewards for supporting the podcast, please visit Warfare's Patreon page.
To leave questions or comments about this or other episodes of the podcast and/or for information about joining the 2ND Saturday discussion on art, culture and justice, please message me at stephanie@warfareofartandlaw.com.
Thanks so much for listening!
© Stephanie Drawdy [2024]

  continue reading

Hoofdstukken

1. Understanding AI Development and Regulation (00:00:00)

2. AI Challenges in Creative Industry (00:12:02)

3. UK Copyright Law and AI Regulation (00:20:26)

4. Copyright Policies and AI in Art (00:38:01)

5. AI's Impact on Medicine and Consciousness (00:50:20)

6. UK Artists' Legal Protection (00:57:39)

137 afleveringen

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