Google Introduces Frontier Safety Framework to Identify and Mitigate ...
Blueprint for an AI Bill of Rights - The White House
organizations to mitigate risks to the safety and efficacy of AI systems, both before ... Such data should be sufficiently robust to identify and help to mitigate ...
Security | Google Public Policy
Cybersecurity is a global priority for policymakers. We are committed to helping achieve our collective goals of strengthening security and the resilience ...
Frontier AI developers need an internal audit function - Schuett
The study of frontier AI governance is a small but growing field. Ahead of the UK AI Safety Summit, the UK Department for Science, Innovation ...
Introducing the Coalition for Secure AI, an OASIS Open Project
The project aims to develop comprehensive security measures that address AI systems' classical and unique risks. CoSAI is an open-source ...
Navigating the Digital Frontier: Google and the Quest for Secure by ...
Collaboration is key. Google invites industry partners, policymakers, and security experts to join this crucial mission. Together, they can ...
AI Safety vs. AI Security: Navigating the Commonality and Differences
triad – Confidentiality, Integrity, and Availability – serves as a foundational framework for AI security. 2.1. Confidentiality in AI Ecosystems.
SEAL: Scale's Safety, Evaluations and Alignment Lab - Scale AI
Typically, AI companies establish their safety guidelines and evaluation criteria in-house. Many frontier model developers collaborate with ...
Algorithmic bias detection and mitigation: Best practices and policies ...
... identify, mitigate, and remedy consumer impacts. With ... Our research presents a framework for algorithmic hygiene, which identifies ...
Precision Medicine, AI, and the Future of Personalized Health Care
... introduce social and ethical challenges to security, privacy, and human rights. ... Moving toward a precision‐based, personalized framework for prevention science ...
Deployment corrections: An incident response framework for frontier ...
While AI developers can adopt several safety practices before deployment (such as red-teaming, risk assessment, and fine-tuning) to reduce the ...
Introducing the AI Safety Institute - GOV.UK
We launched the Frontier AI Taskforce – the first state body dedicated to the safety ... identifying and mitigating safety risks from ...
Microsoft's AI Safety Policies - Microsoft On the Issues
[1] Visibility into our policies and how we put them into practice helps to inform and accelerate responsible technology development and ...
Frontier AI Regulation: Safeguards Amid Rapid Progress | Lawfare
We need to escalate our efforts in AI governance, integrating strong oversight, transparent reporting requirements, and effective risk management.
Transforming risk governance at frontier AI companies
4 For example, safety evaluations at OpenAI, Google DeepMind and Anthropic. ... has identified safety concerns relating to stereotyping and bias.
Towards an international regulatory framework for AI safety - Nature
Regulatory measures should focus on identifying and mitigating ... Wolf K (2023) Frontier AI regulation: Managing emerging risks to public safety.
A Study by Google DeepMind on Evaluating Frontier Machine ...
The focus is increasingly shifting towards understanding and mitigating the risks associated with these awe-inspiring technologies, particularly ...
Looking ahead to the AI Seoul Summit - Google DeepMind
To contribute to these discussions, we recently introduced the first version of our Frontier Safety Framework, a set of protocols for ...
Leading to the Frontier Safety Framework was our dangerous capabilities evals work, expansively probing at capabilities to self-proliferate, self-reason, ...
(PDF) Adapting cybersecurity frameworks to manage frontier AI risks
Functional: Identify essential categories of safety and security ... Cybersecurity (CLTC) identifies high-priority activities for frontier AI developers to reduce ...
Google, OpenAI, Microsoft and Anthropic Form Coalition for ... - AIwire
The group plans to tackle responsible AI development with a focus on three key areas: identifying best practices, advancing AI safety research, ...