We get AI for work: Tackling the Challenges of Diverse AI Systems
Release Date: 11/08/2024
We get AI for work: An Exclusive Chat with Mark Zheng, Lead Corporate Counsel at Duolingo
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For businesses adopting AI in the workplace, protecting intellectual property presents another legal consideration for employers. Chapters 00:00 Introduction to AI in the Workplace 01:31 Understanding Duolingo and Its AI Integration 03:36 Intellectual Property Concerns in AI 07:54 Governance and Policy for AI Usage 11:37 Vendor Management and AI Implementation 13:25 Key Takeaways on AI and IP Issues
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We get AI for work: An Exclusive Interview with Keith Sonderling, Former EEOC Commissioner
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AI is not only the future of technology, but also business and very few organizations are not actively discussing whether and how to strategically implement AI strategies and tools. As AI technology advances at an extraordinary pace, staying ahead of the curve is essential for maintaining competitiveness and innovation.
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Post-Election Insights: What It Means for Your Business
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As a second Trump administration prepares to take office in January 2025, Washington, D.C., is again at the epicenter of significant political shifts that will impact workplace law and likely impact your organization.
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Language Matters: How the New Fair Choice Rule is Shaping the Construction Industry
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The National Labor Relations Board’s Fair Choice-Employee Voice Final Rule was enacted on September 30, 2024, significantly changing union elections. Chapters 00:00 Introduction to the NLRB's New Rule 02:50 Understanding Section 8(f) and Section 9(a) Agreements 06:08 Implications of the New Fair Choice Rule 09:04 Key Takeaways for Construction Employers 11:46 Final Thoughts and Compliance Strategies
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We get AI for work: Tackling the Challenges of Diverse AI Systems
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AI is a frequently used term that is only sometimes fully understood in the workplace or legal context. Since no single type of AI performs all functions, employers must identify which type or subset of AI—such as generative AI, machine learning, predictive analytics, or natural language processing—their organization is using or considering. Additionally, understanding how various laws and regulations may impact AI's use is crucial.
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Navigating Cannabis Rescheduling: Key Insights for Healthcare
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Earlier this year, the DEA responded to President Biden’s directive to reschedule cannabis from Schedule I to Schedule III of the Controlled Substances Act. This pivotal change, if finalized, would reclassify marijuana as a drug with moderate to low potential for dependence, strictly for medical use. Chapters 00:00 Introduction to Workplace Issues and Cannabis Rescheduling 05:06 Understanding the Rescheduling Process of Cannabis 09:48 Implications of Rescheduling for Employers 15:07 Legal Challenges and Considerations for Healthcare Employers 19:50 Navigating Drug Testing and Employee...
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Workplace Law After ‘Loper’: The Impact on Immigration Compliance
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The impact of the Loper Bright and Jarkesy decisions could be widely felt including in increased immigration litigation and challenges. Chapters 00:00 Introduction to Workplace Law and Recent Supreme Court Decisions 02:51 Impact of Loper Brighton Immigration Compliance 05:46 Understanding the Jarkesy Decision and Its Implications 09:02 Case Studies: Walmart and SpaceX Decisions 11:45 Challenges to Administrative Authority and Future Litigation 15:09 The Future of Immigration Policies and Employer Leverage 18:01 Conclusion and Future Outlook on Workplace Law
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Hiring the Future: Navigating New Immigration Policies for AI and STEM Talent
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United States technology employers increasingly look to add skilled AI talent to their ranks, including J-1 research scholars and F-1 STEM students. For organizations who do, it’s crucial to consider recent United States Citizenship and Immigration Services policy changes and upcoming regulations which are important when developing new pathways and improving programs to attract and retain top foreign nationals with AI experience.
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We get AI for work: AI Deployment and Development
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Despite a burgeoning use of AI in the workplace, organizations have barely scratched the surface of how efficiency and productivity may be enhanced by employing advancing technologies. However, an unchecked use of AI tools in the workplace can raise serious concerns for employers about ensuring the accuracy, reliability, and defensibility of AI deployment and development.
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Pay Equity and Transparency in Financial Services
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Achieving compliance with pay transparency regulations in job postings can be difficult due to the evolving patchwork of local and state laws. However, recent trends reveal that financial firms are 54% more likely to disclose pay equity results than companies in other industries. Chapters 00:00 Introduction to Pay Equity and Transparency 02:57 International Pay Transparency Regulations 05:46 U.S. Pay Equity Laws and State Variations 08:56 Implications of Pay Transparency for Employers 11:49 Best Practices for Compliance and Pay Equity Analysis
info_outlineAI is a frequently used term that is only sometimes fully understood in the workplace or legal context. Since no single type of AI performs all functions, employers must identify which type or subset of AI—such as generative AI, machine learning, predictive analytics, or natural language processing—their organization is using or considering. Additionally, understanding how various laws and regulations may impact AI's use is crucial.