AI Talks

This session will cover recent trends in the licensing of content to train generative AI tools – including considerations from the perspectives of licensee and licensor, synthetic data, data marketplaces, and data stewardship, transparency and regulatory considerations.

This session will cover a range of topics – including the latest on copyright authorship and ownership, copyright and trademark infringement, right of publicity, risk mitigation, and more.

This session will cover ways to navigate the US, European Union, and UK regulatory and legislative risks of AI, including strategies for engaging with policymaking bodies and analyzing the business impacts of legislation and regulations on innovation.

Companies are understandably keen to harness the transformative power of artificial intelligence (AI) by incorporating it into their business processes and consumer and enterprise offerings.

This session will cover myriad issues related to employment counseling and litigation from an AI perspective in the US, the UK and the EU. We’ll discuss best practices associated with AI-powered tools – including compliance with laws, administrative guidance concerning the use of these tools in employment decisions and managing generative AI usage by employees to perform their jobs.

Central to the conversation around artificial intelligence (AI) regulation are issues of enforcement by global antitrust agencies. Evident from the probes being launched over the last few months, antitrust agencies in the US, UK and European Union are taking strident measures to pursue a proactive enforcement agenda in the AI landscape.

This session will explore the ways in which agencies across key geographies are seeking to put in place guardrails and get “ahead of the curve” on antitrust issues that are evolving with the development of AI technologies – including matters related to entrenchment and business conduct, as well as other perspectives that will be relevant when considering expansion plans, go-to-market approaches, and strategic partnerships and dependencies.

This session will cover considerations for public companies related to artificial intelligence. As a rapidly growing number of questions arise across different areas of law concerning AI, companies and their management and boards are facing unprecedented challenges as they evaluate and leverage opportunities to use it – as well as mitigate its risks. With a targeted focus on public companies, this session will discuss key business implications and risks of AI, AI-related compliance considerations, anticipated areas of regulator focus and steps companies can take to address AI. While the session is primarily focused on US domestic issuers, general considerations that are applicable to foreign private issuers will be discussed.

As companies increasingly rely on AI to enhance the customer experience, improve internal efficiency, support decision-making and mitigate fraud risk, the regulatory landscape is quickly evolving. Consumer protection agencies and financial services regulators are increasingly concerned and messaging loudly that institutions will be held accountable for noncompliance with the law when – not if – AI-driven activities go awry. Cooley’s financial services enforcement team is handling a number of investigational, supervisory and compliance issues related to AI, and this webinar will cover some of the trends our clients are facing.

The webinar, also part of Cooley’s Financial Services Enforcement Forecast: Five in Five series, will cover the business use cases for AI in the financial services space, regulatory risks and areas of regulator concern, along with ways to mitigate risks of noncompliance.

This session will provide an overview of the role of AI in life sciences and the different ways that AI impacts the product development landscape for early- and mid-stage life sciences companies. Discussion topics will address key considerations for life sciences companies in transactions involving AI products and platforms, along with how AI is changing the paradigm for dealmaking at all levels of transactional complexity, from simple commercial agreements to major collaboration and partnering transactions. The session will include discussion of different transaction types, including foundational in-licenses of AI technologies and major collaborations, approaches to AI platform transactions, and how AI considerations force a reevaluation of the transactional landscape, including deal structures and financial terms.

AI has the potential to revolutionize our healthcare system, from drug discovery and development to diagnostic platforms and clinical workflow applications that elevate patient care and improve outcomes. This session will cover the opportunities and challenges for digital health companies leveraging AI capabilities. Discussion topics will address data ownership and data sharing considerations unique to healthcare, including why investing in and protecting datasets is critical when seeking venture capital investment and external partners.

Speakers also will provide a deep dive into the state of funding for companies at the intersection of AI and digital health, including current deal trends and what early- and late-stage companies can expect to see in a term sheet in the current market.

The rapid evolution of AI poses new challenges for venture capital (VC) firms in several key areas, including refining due diligence processes for AI investments and leveraging AI internally to optimize operational efficiency.

This session in our signature AI Talks series will be a special edition for general counsels of VC funds. It will discuss the key areas for due diligence that VC firms should prioritize with respect to AI companies. “AI companies” broadly includes companies that have their own proprietary AI technology – such as those that create their own large language model (LLM), incorporate AI technology into their customer-facing product, utilize AI to create their product or use AI in their operations (but not necessarily in their product).

The rapid evolution of AI poses new challenges for venture capital (VC) firms in several key areas – including refining due diligence processes for AI investments and leveraging AI internally to optimize operational efficiency.

This session will highlight the numerous considerations related to using and/or formally deploying AI technology to enhance the organizational setup and logistical operations of a VC fund. Discussion topics will broadly address risk control for internal use of AI – including data sharing and protection on generative AI platforms, legally and ethically sound adoption of readily available AI-powered tools for funds and their portfolio companies, as well as best practices for constructing smart, fund-specific AI use policies.

This intellectual property segment of AI Talks covers a range of IP-related topics, including issues of copyright authorship and ownership, trademark, trade secret, right of publicity, privacy protection, risk mitigation and more.

This session covers a range of privacy and cybersecurity topics related to the use and development of AI products and services, including consumer rights, data protection assessments, and other issues related to compliance with data privacy laws, data security, and current litigation trends.

This session will cover topics related to day-to-day commercial transactions and product development involving generative AI tools – including customer and vendor agreements for products and services, internal generative AI policies and practices, chatbot regulations, and data and content scraping and licensing.

This session covers ways to navigate the US, European Union and UK regulatory and legislative risks of AI, including strategies for engaging with policymaking bodies and analyzing the business impacts of legislation and regulations on innovation. Going beyond the text of new laws and rules, this session provides insights into the complex procedures of government agencies – and the people behind them – from US and international perspectives. Other topics of discussion include the applicability of current and proposed laws and regulations on AI platforms relating to unfair and deceptive practices, creation and monitoring for deepfakes, libel and explicit content concerns, and compliance with chatbot disclosures.

This session will cover myriad issues related to employment counseling and litigation from an AI perspective in the US and the UK. We will discuss best practices associated with AI-powered tools, including compliance with laws and administrative guidance concerning the use of these tools in employment decisions and managing generative AI usage by employees to perform their jobs. As part of our examination of the use of AI in the hiring and promotion process, we also will discuss bellwether New York City Local Law 144, a first-of-its-kind law that prohibits the use of qualifying AI-powered tools for employment decision-making without conducting an annual bias audit, as well as complying with publication and notification requirements.