#45 Innocent Until Proven Guilty! We Put A.I. In The Dock - With Artificial Intelligence Attorney Kassi Burns

How are attorney's and legal professionals using artificial intelligence?

TIMESTAMPS 0:00 AI Book Club 2:36 Authorship 4:39 Gulliver's Travels 5:08 SPONSOR WRIPPLE 5:56 Introducing Kassi Burns 6:42 Litigation And AI 9:30 The 'aha' AI moment 13:54 Algorithmic Bias 19:11 Why you shouldn't delete messages 24:00 Thoughts on Generative AI & Modern Art 28:18 Mandatory Disclosure For AI Content 35:32 Data Sets & Transparency 39:29 Fair Use & Copyright

========================== Will there be a US AI Act by the end of 2023? Will AI legislation apply to the companies creating LLMs? How is copyright law increasingly shaped by generative AI? So many deep questions on the show today. - -- - - - - - - - - - - Kassi Burns is an attorney who has been employing AI and Machine Learning for a decade. Her legal career is characterized by a sustained curiosity in emerging technologies, technical and client service skills, a deep understanding of data's impact on legal matters, and a strong desire to engage with individuals within and beyond the eDiscovery community. Over the years, Kassi has developed a unique and diverse background encompassing transactional law, eDiscovery, privacy law, data breach response, information law, and legal operations. She has consistently collaborated with Partner/GC/C-suite clients. Kassi's curiosity regarding emerging technologies like blockchain, NFTs, and web3, and their implications for the legal profession, has kept her on a constant path of discovery and educational growth. Her social media presence, including content shared through @eDiscoverist, is motivated by her desire to educate non-practitioners about eDiscovery and inform the legal community about web3. Please enjoy the show! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - QUOTES FROM THE SHOW “It requires some advice from your legal counsel.” “I've worked in litigation using emerging technology and AI machine learning for the past 10 years.” “There's case law about the use of Technology-assisted review in litigation; there’s precedent in the U.S about how you can defensively use it.” Re: Active Learning or Technology-assisted review - “We know the most relevant so we can be more strategic with what we're going to review.” “But those are still some of the same mechanisms; it still goes to data richness, how robust is your data set? What are you doing to train it on the back end? How are you going to refine it? What are you doing to validate the results?” “The legal practice is focused on two things: the law and facts and how those facts intersect with the law to help decide an issue that's in dispute.” “The algorithms we use tend to be LSI (Latent semantic indexing) algorithms. It creates a very robust constellation of concepts that are interconnected, not by literal words but by concepts.” “It creates a concept-plus-service. If you're getting documents from the opposing party and you want to see what documents they have and you want a quick snapshot, you can run conceptual indices and get what we would call concept clusters. And it can drill down into layers of specificity.” “The more simple and a little bit more elegant from a workflow perspective is an SVM (support vector machine). If it's on one side of the line, it's relevant; if it's on the other side, it's not.” =========================

👉 Watch on YouTube: https://www.youtube.com/watch?v=Vnmgs6o1czs&t=1598s

======================

🔗 Follow Mark And Jeremy:

• Join the Book Club:⁠⁠⁠⁠ ⁠Thinking on Paper⁠⁠⁠⁠⁠

• Connect with Mark:⁠⁠⁠⁠ ⁠Mark Fielding⁠⁠⁠⁠⁠

• Connect with Jeremy:⁠⁠⁠⁠ ⁠Jeremy Gilbertson⁠⁠⁠⁠⁠

#artificialintelligence #ai #aipodcast #copyright #web3podcast #techpod #technologypodcast #thinkingonpaper #techforparents #emergintech