GTC’s cross-functional Artificial Intelligence Group consists of lawyers and technologists with advanced degrees (including PhDs) in AI, machine learning, algorithm design and computer systems engineering. We have deep industry and academic experience, including team members who have founded technology companies leveraging AI, who have taught law school classes in AI, and who have advised leading companies on legal issues related to AI for many years. We view the responsible use of AI as essential to business growth and opportunities.
Our AI Group can assist in many areas, including:
- Generative AI – risk assessment and mitigation for optimal use of Generative AI, including new transformer-based models such as GPT-4, GitHub Copilot, DALL-E, and others.
- AI Governance– developing and documenting cross-organizational teams, policies, procedures and strategies for responsible and accountable AI.
- Products/Services – AI delivered as part of the products/services (including customer support) and AI used to generate products/services (including writing code).
- Internal Operations – AI used for workforce management (recruiting, hiring, promotions etc.), content generation (product documentation, advertising/marketing etc.) and the like.
- Code, Data Licensing and Contracting– risk assessment and mitigation strategies for Generative AI, including GitHub Copilot, and contract drafting and negotiations (including for vendors/suppliers).
- Privacy/Data Protection –compliance related to processing of personal data, including data rights and privacy policies and contracts language.
- Intellectual Property – including patent protection for AI inventions and applications of AI technologies, and copyright, patent, trademark, and right of publicity/defamation issues related to Generative AI.
- Algorithmic Bias/Discrimination – including external audits (in partnership with outside AI/ML and data science experts), such as for the recent NY AI audit law.
- Mergers & Acquisitions – buy and sell-side M&A and fundraising involving AI companies and technologies.
- General Legal and Regulatory Compliance – including related to web scraping for the data and content used for AI training and Generative AI, consumer protection, Computer Fraud and Abuse Act, and recent wiretapping legal theories and evolving case law.
We are proud of our deep and long-term experience with AI legal issues, including for our AI Group Co-Leaders Sayoko Blodgett-Ford and Anthony Decicco:
- Designed and taught Artificial Intelligence and the Law at Boston College Law School
- Previously taught AI as part of Privacy Law, Mobile Apps & Big Data and Internet Law and Policy classes
- Research focus on AI in Philosophy graduate program at Columbia University (2021-2023)
- NYU Bioethics Master’s program – proposed research focus on AI – accepted for Fall 2023
- Co-editor of Human Enhancement Technologies and Our Merger with Machines (2021)
- Author of A Real Right to Privacy for Artificial Intelligence in Research Handbook on the Law of Artificial Intelligence (2018)
- Presented to Protocol.ai on Privacy and AI including “AI Alignment”, “Utility Maximizers” and “AI for Good” (Protocol Labs Summer Research Series)
- Led working group advising on proposed facial recognition regulation for the Massachusetts state government as part of the Boston Bar Association Privacy, Cybersecurity and Digital Law Section
Tony focuses on:
- Data sets:
- Clearing data sets from a licensing point of view
- Strategies for acquisition and collection of training data
- Patent:
- Developing patent portfolios focused on AI inventions and/or applications of AI technologies
- Contract terms:
- Protections in vendor agreements covering AI technologies
- Ability to use customer data to create and improve AI technologies
- Risk assessment and mitigation in respect of using AI (such as GitHub Copilot) to generate and test software code
- Derivative works and fair use analysis and developing related strategies
- Reviewing open source and other licenses applicable to AI tools and models