Mozilla’s Post

The disruptive potential of #generartiveAI is undeniable but we need to ensure our regulators and policy makers understand these technologies and have the knowledge and skills required to govern them effectively. That is a major focus of our ongoing work at School of Regulation and Global Governance (RegNet) and our new Graduate Certificate and Master of Technology Governance programmes have been developed with this purpose in mind.

AI governance and human rights: Resetting the relationship This research paper aims to dispel myths about human rights; outline the principal importance of human rights for AI governance; and recommend actions that governments, organizations, companies and individuals can take to ensure that human rights are the foundation for AI governance in future. https://lnkd.in/dXH6BEFg -Posted by OneUp

Powerful #artificialintelligence is a "sociopath", with the ability to "trash human rights [and] attack democratic societies", writes Federal MP Julian Hill. Which is why we're right to worry about uncontrolled #generativeAI technologies. As he pens in this op-ed, "Governments must act in the public and national interest to establish guardrails and determine how and where to apply both the accelerator and the brake". And fast: https://lnkd.in/gVTGaiNX

AI may not eliminate systemic bias. Rather, it may scale it! In this episode, Brené Brown and Dr S. Craig Watkins discuss what is known in the AI community as the “alignment problem” — who needs to be at the table to build systems that are aligned with our values as a democratic society? And, when we start unleashing these systems in high stakes environments like education, healthcare, and criminal justice, what guardrails, policies, and ethical principles do we need to make sure that we’re not scaling injustice? https://lnkd.in/gu7Hr8nE

Without deliberate intervention, the well-known biases that exist within #AI systems can perpetuate major social inequities in healthcare, home ownership, law enforcement, hiring, and more. But by understanding and recognizing AI’s inclination toward biases, leaders can develop tools and processes to advance value-neutral data and mitigate societal harm. As this article in the World Economic Forum points out, such solutions are much less complex than attempting to solve the problem of inherent bias in human minds. https://lnkd.in/gA9tBKBx

*** #20Talks *** Developments in AI and the future of democracy work hand in glove. What is the role of politics and public institutions? Our talk with Nataša Pirc Musar, PhD, President of the Republic of Slovenia, interviewed by Julia Hodder, explores the privacy implications of AI and its impact on democracy, and the global response to its fast adoption around the world. Watch the full video at https://europa.eu/!fjgdVf #EDPSXX

I am honoured to be chosen to talk to you dear EDPS - European Data Protection Supervisor. Data protection and AI are the topics of today and the future. Continue the good work. Wojciech Wiewiorowski #dataprotection #artificialintelligence #aiact

What are the real human rights risks of artificial intelligence? Head over to our blog post to read more about the concerns the human rights community has about AI, and how we can “build a resilient civil society ecosystem that speaks up for the human rights of individuals before technological advancement.” ✨ https://bit.ly/NTAIrisks

Unpacking the New Executive Order on AI - Part 3: Advancing Equity and Civil Rights   This is the third post in a multi-part posting where I am unpacking each section of the recent Executive Order regarding Safe, Secure, and Trustworthy Artificial Intelligence, for those unfamiliar it or for those who appreciate a summarized version.   Key takeaways from Section Three - Advancing Equity and Civil Rights   1. Guidance for Fair AI Use Establish guidelines to prevent AI from promoting discrimination by landlords, federal benefits programs, and federal contractors.   2. Tackling Algorithmic Discrimination Foster best practices to curb civil right violations stemming from algorithmic biases.   3. Fairness in Criminal Justice Formulate guidelines to ensure fair AI applications within the criminal justice system.   Next, I will be unpacking section 4 - Standing Up for Consumers, Patients, and Students.   #ArtificialIntelligence #AIEthics #CivilRights #JusticeSystem #AlgorithmicFairness #TechPolicy #ExecutiveOrder #missionimpossible #GenAI #Datamangement