ARTIFICIAL INTELLIGENCE Legal Issues & Implications [Insert Sponsor Name and/or Logo] 2017 In House Counsel Conference
Presenters: David Rifkind, Esq. Fisher Clinical Services René Quashie, Esq. Cozen O Connor
What is AI?
Artificial Intelligence Overview
What is AI? Cognitive systems understand human expressions textual, verbal, visual Reasoning about the actual intention or problem being addressed Learn to recognize patterns of meaning through examples and feedback Interact with humans on their own terms
Applications of AI Reasoning Legal assessment; financial asset management Knowledge Medical diagnosis; media recommendation; financial market trading; fraud prevention Planning Logistics; scheduling; navigation; demand forecasting Communication Voice control; intelligent assistants; realtime translation; real-time transcription Perception Autonomous vehicles
AI Sector
AI Overview 4 th industrial revolution (Davos) Steam, electricity and computing Potential to challenge many legal assumptions Raise significant questions about the nature, timing and extent of the rise of new industries, employment displacement, other changes
4 th Industrial Revolution
AI & the Economy
AI Stats By 2020, 85% of customer interactions will be managed without a human (Gartner) By the end of 2018, customer digital assistants will recognize customers by face and voice across channels and partners. (Gartner) 80% of executives believe artificial intelligence improves worker performance and creates jobs. (Narrative Science) By 2020, smart agents will manage 40% of mobile interactions. (Gartner)
AI Stats Artificial intelligence will replace 16% of American jobs by the end of the decade. (Forrester) By 2020, the artificial intelligence market will surpass $40 billion (Constellation Research) By 2025, the artificial intelligence market will surpass $100 billion (Constellation Research) 20% of business content will come from AI by 2018 (Motley Fool)
The Workplace
Artificial Intelligence in the Legal Profession
Legal AI Work Legal Work AI Natural language Machine learning Ability to generate evidenced based responses Cognitive and dynamic
Legal & Compliance Examples Answer compliance questions Natural language Q&A over complex and shifting regulations Conduct more thorough legal research Suggest research avenues and documents based on understanding research path Find relevant documents Technology assisted review E-discovery Identify hidden risks Contract management systems that transform documents into structured data Solve disputes Online dispute resolution systems use
AI & the Legal Profession
Legal & Compliance The Future Recommend legal/regulatory/co mpliance strategy Completely automate compliance Case predictions Advisory services
Artificial Intelligence in Health Care
AI & Healthcare
Infobesity (IBM) AI healthcare market to hit $6 billion by 2021 (Frost & Sullivan) Medical information doubles every 5 years By 2020 it is expected to double every quarter. 80% of the healthcare professionals spends at most 5 hrs/month to keep up 80% of the information is unstructured Only 20% of the knowledge doctors use is evidence based: 1 out of 5 diagnoses are wrong or incomplete.
IBM Watson An Example
IBM Watson Oncology Analyzes the patient s medical record Ability to analyze the meaning and context of structured and unstructured data in clinical notes and reports Identifies potential evidence-based treatment options Watson ranks identified treatment options and provides links to supporting evidence for each option to help oncologists as they consider treatment options for their patient
60 Minutes
Artificial Intelligence Legal Issues
Top Legal Issues Data privacy/cybersecurity IP Liability Agency Taxation Bias Concepts of personhood
Future Considerations Legal definition on AI? Are existing laws/regulations enough to address AI issues? What interests should potential future AI laws/regulations protect? What is the role of federal government? State government? Interplay between feds and the states Tech competence
Questions