Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) and Machine Learning utilize advances in hardware, algorithms, and data sets to enable computers to accomplish specific tasks by processing large amounts of data and recognizing patterns. These advances have made it possible for machines to learn from experience, adjust to new inputs, and perform human-like tasks. AI can be deployed in many different contexts across a range of industries, potentially allowing for improvements in fraud and risk detection, supply chain management, chat bots and virtual assistants, content curation, health care decision-making, and deployment of autonomous and semi-autonomous vehicles.
The legal and regulatory landscape of AI continues to evolve. Certain sector-specific laws can restrict how AI is deployed in areas such as credit and employment decision-making. Privacy and cybersecurity laws and regulations directly impact how the large data sets that underpin AI can be used. And laws, regulations, and policy expectations will continue to evolve in the coming years, on a federal, state, and international level. Companies must navigate potential regulatory and liability risks as they deploy AI for beneficial uses in the context of a shifting legal landscape. Key issues include:
- Algorithmic explainability and transparency requirements
- Concerns with potential algorithmic biases
- Disclosure obligations
- Management and governance of data
- Use limitations
- Restrictions and obligations under privacy law
- Cybersecurity concerns
Our interdisciplinary team attorneys regularly advise clients on legal issues related to AI, machine learning, and big data, helping them to understand existing and potential legal requirements and manage legal and regulatory risks. Our combined experience includes working on AI-related legal issues in the government; extensive insight into developing privacy, cybersecurity, and other requirements; and deep familiarity with helping clients manage technological change in evolving regulatory landscapes. We also have wide-ranging experience engaging with federal agencies and international regulators on technology-related issues including AI. Our work extends from helping to implement a proactive compliance strategy for AI deployment to advocacy on key issues to enhance the beneficial uses of AI and machine learning.