¿Deben o deberían las empresas dar indicaciones a sus empleados sobre si pueden, o no, usar herramientas de inteligencia artificial (IA) al realizar sus funciones? Sí, en España están obligadas por ley a hacerlo y además es siempre recomendable. La utilización de IA sin un trabajo previo de identificación y minimización de los riesgos (legales, organizativos y de seguridad) es una amenaza claramente detectada en el sector privado desde hace años. Resulta ilustrativo constatar como…
In its white paper published last month, the UK Government set out its principles-based, adaptive approach to regulating AI. The UK approach stands in stark contrast to the more static and prescriptive approach of the EU AI Act. Instead of assigning responsibility for AI governance to a new single regulator, the UK Government is empowering existing regulators to come up with tailored approaches for specific sectors. The aim is to ensure that the UK remains a flexible…
In Brief Recent developments in AI technologies have led to the increased use of AI to create a range of works, such as art, music, stories, and even lines of software code, in response to human inputs. This has resulted in an uptick of copyright applications filed with the U.S. Copyright Office (the “Office”) seeking registrations for works with varying degrees of contributions from generative AI tools. This calls into question whether, and to what…
In Brief Global regulations to govern the development and use of artificial intelligence (“AI”) are being reviewed and implemented in rapid pace. While the U.S. does not have a comprehensive regulatory framework for AI, there are initiatives underway at the federal and state level, including the framework recently released by the National Institute of Standards and Technology (“NIST”), the AI Risk Management Framework (“RMF”). Background AI technology has a wide range of benefits, including increased…
Organizations are increasingly relying upon and integrating artificial intelligence (AI) technologies, including automated decision-making (ADM) processes, into their workflows and utilizing these applications for critical decision-making processes.[1] AI is being leveraged for a variety of use cases (e.g., IT process automation, marketing and customer care, security and threat detection, recruitment and employment, etc.) and across different industries including technology and communications, financial services, manufacturing, and consumer services. Any AI system is driven and sustained by…
Join us for an in-person event with special guest, EEOC Commissioner Keith Sonderling Commissioner Sonderling is recognized for his thought leadership on inclusive AI. He is at the forefront of advocating for rational AI enforcement that meets the mandate of equality without disrupting innovation. He has noted the value of learning the perspectives of innovators, and legal and human resource professionals in this space through an open dialogue. A brief introduction video to Commissioner Sonderling can be found here.…
Synthetic datasets could change the way developers train AI models in healthcare. They have the potential to increase the size of training datasets for AI models, whilst protecting patient privacy, but is this really a solution or just hype? We’ve set out 7 things you need to know. 1. What is synthetic data? A synthetic dataset is an “artificial” dataset containing computer-generated data instead of real-word records. In the healthcare setting, the term “synthetic data” is…
On 18 December 2020, the UK House of Lords Liaison Committee on AI published a new report, AI in the UK: No Room for Complacency. The report considers the UK government’s progress against the recommendations made by the Select Committee on AI in their 2018 report, AI in the UK: ready, willing and able? The report contains a series of new recommendations covering public understanding of AI, use of data, ethics, public trust and regulation, jobs and…