JEM Lab for Generative AI at Work

AI-driven litigation, Chatbot Therapists, AI Bubble Burst, and more -- looking back on the month of July! The JEM Lab for Generative AI at Work, created by students and faculty from #Cornell University's ILR School, presents the #FutureOfWork Report. - Learn how #GenerativeAI is redefining your industry: trends in business, law, labor, healthcare, and education - Discover practical applications and critical issues in #AI Stay informed, adaptable, and prepared with the Future of Work Report – your window into the AI-driven evolution of the professional world. #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #NLP

Hospital Giant Rolls Out AI Patient Chat Network A healthcare technology partnership is expanding access to AI-powered patient communication solutions across the United States. TeleVox's comprehensive chatbot platform, featuring their Iris AI virtual agent, will be available to Premier's extensive hospital network with preferential pricing. The technology offers multi-channel patient engagement capabilities, from web interfaces to SMS, while promising seamless integration with existing healthcare systems. This collaboration aims to modernize patient communication while reducing administrative burden on healthcare staff. Read more at https://lnkd.in/eM5f7QTA - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

AI Coding Tools Triple Junior Dev Productivity A groundbreaking study examining AI's impact on workplace productivity reveals significant benefits, particularly for less experienced workers. The research, analyzing GitHub Copilot's implementation across three major technology companies, showed a 26% average increase in task completion. Junior developers experienced the most substantial gains, with productivity improvements up to 39%, while senior developers saw more modest increases. Despite clear benefits, adoption rates remained at 60% after one year, highlighting potential challenges in implementing AI tools across organizations. Read more at https://lnkd.in/grpcey2G - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

AI Workers Seek Whistleblower Cover to Expose Emerging Threats AI industry employees are seeking dedicated whistleblower protections amid growing concerns about technology risks. Current laws offer limited protection, primarily covering traditional corporate misconduct like financial fraud. Both Democratic and Republican lawmakers acknowledge the need for new regulations, with potential legislation expected in the post-election period. Tech workers face significant personal and professional risks when reporting concerns, as demonstrated by past whistleblowers like Frances Haugen. Despite some companies implementing internal policies, experts argue that comprehensive federal protection is necessary for effective oversight of AI development Read more at https://lnkd.in/ee8AZC-q - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

Why Businesses Fail to Harness Generative AI Correctly Business adoption of artificial intelligence is rapidly accelerating, despite significant uncertainty among leaders about implementation. While half of companies plan to adopt AI in 2024, many executives struggle with tool selection and strategic deployment. Successful AI integration requires careful consideration of data infrastructure, security protocols, and employee training. Organizations must identify specific use cases, from customer service automation to internal operations optimization, before implementation. Companies that take a methodical approach to AI adoption, focusing on data quality and workforce development, are better positioned to realize the technology's benefits and gain competitive advantages. Read more at https://lnkd.in/ecSrDNj4 - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

Taming the GenAI Flood, Zoom’s AI Telehealth Partnership, Cali AI Bill Vetoed, and more! #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #NLP #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

OpenAI Insider Warns of Copyright Violations A significant challenge to AI industry practices has emerged from former OpenAI researcher Suchir Balaji, who questions the legality of the company's data collection methods. After four years with the company, including work on GPT-4, Balaji argues that AI companies' training methods violate copyright law and harm content creators' commercial interests. His criticism adds to mounting legal pressure from numerous high-profile plaintiffs, including the New York Times, authors, and celebrities, all claiming unauthorized use of their copyrighted material. OpenAI maintains their practices are protected under fair use principles, highlighting a growing tension between AI innovation and intellectual property rights. Read more at https://lnkd.in/e6x73JzZ - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

Corporate AI Adoption Soars 500%, But Full Integration Still Years Away The corporate world is experiencing a dramatic surge in generative AI adoption across business functions, with implementation rates increasing fivefold in the past year. While IT departments lead adoption at 36%, other sectors like customer service and HR follow at roughly 25%, with finance trailing at 6%. Most organizations currently focus on efficiency gains through task automation, though leaders recognize greater potential in effectiveness-focused applications. Companies taking an enterprise-wide approach to implementation show higher success rates (35%) compared to isolated departmental efforts (24%). Despite widespread optimism, businesses anticipate a 3-5 year horizon for realizing significant value, with accuracy and security remaining primary concerns. Read more at https://lnkd.in/dZpMhvF4 - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

Salesforce, Blue Shield CA partner to create an AI-focused healthcare approval system A new partnership aims to revolutionize healthcare prior authorizations through AI integration. Salesforce and Blue Shield of California's system promises to reduce approval times from weeks to same-day processing while maintaining human oversight. The solution leverages electronic health records and existing coverage policies to automate straightforward approvals. Unlike previous AI implementations in insurance that faced criticism for increased denials, this system keeps medical professionals involved in decision-making. California's advanced health information infrastructure makes it an ideal testing ground, with plans for broader implementation throughout 2025. Read more at https://lnkd.in/eEt-gzAp - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education

IBA and CAIDP on AI in the Legal Profession A study reveals the legal industry's complex relationship with artificial intelligence technologies. Survey data shows mixed preparedness, with only 43% of law firms having AI policies and 69% uncertain about regulatory impacts. While larger firms leverage AI for client services and competitive advantage, the industry faces significant challenges in data governance, security, and training. Professional bodies emphasize the need for balanced regulation that promotes innovation while protecting fundamental rights. The report underscores AI's transformative potential in legal practice while highlighting the urgent need for comprehensive training and ethical frameworks. Read more at https://lnkd.in/dXQZF8pf - Amol Deshmukh | aud3@cornell.edu #artificialintelligence #workplaceAI #technology #work #labor #innovation #workplace #automation #neuralnetworks #LLMs #LargeLanguageModels #nlp #business #tech #law #legal #labor #workforce #ethics #aigovernance #healthcare #education