Creating Artificial Intelligence Policies for Businesses: Legal and Ethical Considerations, Mitigating Risks
Course Details
- smart_display Format
On-Demand
- signal_cellular_alt Difficulty Level
Intermediate
- work Practice Area
Corporate Law
- event Date
Thursday, December 19, 2024
- schedule Time
1:00 p.m. ET./10:00 a.m. PT
- timer Program Length
90 minutes
-
This 90-minute webinar is eligible in most states for 1.5 CLE credits.
This CLE webinar will examine the growing use of generative and other forms of AI in various business settings. The panel will address the need for organizations to develop and implement adequate policies and procedures to identify and manage the legal risks of this evolving technology.
Mr. Thomas oversees trust and data protection across Dialpad’s suite of VoIP and AI services, including data lifecycle, privacy by design, and user experience. He comes to product counseling with a background in data security and telecommunications, as a consultant for IBM and associate in FCC regulatory practice at Squire Sanders and Jones Day. Mr. Thomas has previously spoken on AI topics for the ABA, and served as Chief Legal Officer for The Open Organisation Of Lockpickers.
Mr. Wu advises clients concerning cutting edge information technologies, such as artificial intelligence, automated vehicles, robotics, mobile computing, cloud computing, Big Data, human-computer interfaces, and the Internet of Things. His work in AI includes counseling clients on the use of ChatGPT and other forms of generative AI. Mr. Wu helps clients with transactions, compliance, liability, investigations, and information governance regarding these technologies. His work includes establishing data security, privacy, and records management policies and programs. Mr. Wu served as the 2010-2011 Chair of the ABA Section of Science & Technology Law. He currently serves as Chair of the ABA Artificial Intelligence and Robotics National Institute and is an Advisory Committee Member for the ABA Task Force on Law and Artificial Intelligence.
Ms. Christian is a data strategy and business attorney in Holland & Knight's Chicago office and the head of the firm's Global Technology Transactions Practice. She helps clients navigate complex legal issues and mitigate business risks associated with emerging and transformative technology and data. Ms. Christian has more than 20 years of experience advising clients in corporate and commercial deals such as mergers and acquisitions (M&A), financings, public offerings, joint ventures and other strategic transactions across virtually all operational and strategic areas of their businesses. She also has government policy experience, having served as Senior Counsel and Chief Investigator to the U.S. Senate Permanent Subcommittee on Investigations, where she led investigations focused on consumer fraud and testified before the subcommittee, as well as Counsel – Special Investigations for the U.S. Senate Committee on Homeland Security and Governmental Affairs. Ms. Christian is an active and sought-out thought leader who regularly speaks with clients and professional organizations on technology and data matters.
Artificial intelligence is changing all aspects of life and attorneys must learn about AI to assist their clients with sweeping fast-paced changes in technology. The latest OpenAI models and other generative AI tools such as Claude, Google Gemini, and Microsoft Copilot are now in everyday usage. These tools can generate content in the form of text, images, and videos in seemingly miraculous fashion. Most organizations are testing and integrating these tools into their operations. Other forms of AI make decisions, predict outcomes, optimize business and technical processes, identify people and things, and operate robots and other machines in the real world. However, myriad risks and novel issues associated with the use of AI pose challenges to the organizations that adopt them.
While generative AI is opening new doors for organizations with creativity-boosting and time-saving tools, the technology has limitations that could cause big problems if not managed appropriately. The limitations typically center around the accuracy of its output and the data used to train its systems. Simple errors with the technology can put organizations at risk. Nonetheless, risks go far beyond the reliability of generative AI. Other forms of AI are vulnerable to bias and cyberattacks, while creating social and ethical challenges.
Given the limitations of AI and the pace of its popularity, organizations need to act now and proactively implement policies to ensure AI systems enable sound decisions about its use. Having rigorous policies in place allows businesses to embrace AI technology in a deliberate and rational way while mitigating legal risks.
Some key areas an AI policy should cover are reliability; compliance; data confidentiality, privacy, and security; bias and discrimination; transparency and explainability; intellectual property infringement; unintended consequences; employee training; management, accountability, and responsibility; economic and social disruption; ethical considerations; incident reporting and handling; and continuous monitoring and improvement.
Listen as our panel of authoritative experts provides advice on creating policies surrounding the use of AI and generative AI that make sense for an organization. The panel will discuss tips for creating one or more policies on generative AI by setting expectations, examining potential risks, and balancing the legal and ethical considerations in an effective risk management program.
- Defining ChatGPT and generative AI
- Ways organizations are using ChatGPT and generative AI
- Benefits and limitations of ChatGPT and AI
- Risks associated with ChatGPT and AI
- Items to address in creating a ChatGPT and AI corporate policy
- Where should policy be documented?
- Vendor due diligence
- Compliance with applicable law
- Ensuring reliability, accuracy, and effectiveness
- Data confidentiality, privacy, and security
- Bias and discrimination
- Transparency, explainability, and disclosures
- Intellectual property considerations
- Employee training
- Management, accountability, and responsibility
- Incident response and reporting
- Ethical considerations
- Continuous monitoring and improvement
The panel will address these and other key issues:
- What are different forms of AI, including generative AI?
- How are businesses currently using generative and other forms of AI?
- What are the benefits, limitations, and risks of AI?
- What are the key issues that need to be addressed in setting policies for the use of generative AI in an organization?
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