Tag: Global telecom

The rapid advancement of generative AI and large language models (LLMs) is fueling widespread adoption across various business functions, with organizations aiming to enhance productivity, efficiency, and innovation. However, realizing these benefits depends on the safe and responsible deployment of AI technologies. Responsible AI (RAI) practices are a foundational component of a broader AI trust strategy, essential for generating confidence among customers, employees, and stakeholders in how organizations develop and use AI.

RAI involves addressing key issues such as data governance, explainability, fairness, privacy, security, and transparency. By embedding these principles into their AI initiatives, organizations can mitigate risks, strengthen accountability, and build long-term trust—ultimately maximizing the impact of their AI solutions.

A recent McKinsey survey of over 750 leaders from 38 countries sheds light on the current state of RAI implementation in enterprises across diverse industries, including technology, healthcare, finance, legal, and engineering. Using the McKinsey AI Trust Maturity Model—a comprehensive framework with four main dimensions (strategy, risk management, data and technology, and operating model) and 21 subdimensions—the survey evaluates organizations’ RAI maturity across four levels, from early-stage foundational efforts to fully developed, proactive programs. The findings offer valuable insights into how organizations are progressing on their responsible AI journeys and where gaps still exist.

California has released a draft AI policy report, reinforcing its leadership in the field. Led by experts including Stanford’s Dr. Fei-Fei Li and commissioned by Governor Gavin Newsom, the report advocates for responsible AI development through evidence-based policies, transparency, and safety standards. Newsom emphasized California’s pivotal role in shaping the future of AI, given its status as home to many of the world’s top AI companies.
California has released a draft AI policy report emphasizing responsible development through science-based standards, transparency, and public input. Key focus areas include using AI for public good, strengthening education and workforce training, and addressing AI-related risks. The state invites feedback on the report until April 8, 2025.
AI company Anthropic supports the initiative, highlighting alignment with its own transparency and safety practices. Both the state and Anthropic stress the importance of collaborative governance and economic impact monitoring to ensure AI benefits society while supporting innovation.

On October 15, 2024, the Cyber Security Agency of Singapore (CSA) published the Singapore Guidelines on Securing AI Systems. These guidelines emphasize the need for AI systems to be secure by design and secure by default, allowing system owners to proactively manage security risks throughout the AI lifecycle. The guidelines aim to protect AI systems from both traditional cybersecurity threats, such as supply chain attacks, and emerging risks, including adversarial machine learning.

Organizations are encouraged to enhance awareness and provide training on security risks associated with AI, ensuring that all personnel are equipped to make informed decisions regarding AI adoption. Additionally, the guidelines recommend establishing incident management procedures.

Accompanying the guidelines is a Companion Guide on Securing AI Systems, which offers voluntary practical measures, security controls, and best practices to assist system owners in implementing effective security strategies.

From October 9 to 11, 2024, the G7 Data Protection Authorities (DPA) held a roundtable focused on promoting the ethical development of Artificial Intelligence (AI). Key topics of discussion included Data Free Flow with Trust (DFFT), emerging technologies, and enhancing enforcement cooperation among member nations.

The G7 Action Plan aims to foster DFFT through international collaboration, regulatory alignment among G7 data protection authorities, and addressing privacy concerns related to emerging technologies such as AI. Following the roundtable, a statement was issued highlighting the critical role of DPAs in ensuring that AI technologies are trustworthy and comply with established data protection principles, including fairness, accountability, transparency, and security.

The DPAs emphasized their human-centric approach, prioritizing the protection of individual rights and freedoms in the context of personal data processing within AI systems. The meeting underscored the essential role of DPAs in overseeing personal data, particularly in the responsible development and deployment of generative AI applications.

On October 7, Senator Troy Singleton (D) introduced bill S3742, which mandates that artificial intelligence companies in New Jersey conduct annual safety tests on their technologies. The bill defines an “artificial intelligence company” as any entity engaged in the sale, development, deployment, use, or offering of AI technology within the state.

The safety tests will focus on assessing potential cybersecurity threats, identifying data biases and inaccuracies, and ensuring compliance with both state and federal laws. Additionally, the bill requires companies to report the results of these tests to the Office of Technology through an annual report. This report must include details about the technologies tested, descriptions of the safety tests conducted, third-party involvement, and the outcomes of each test for review by the Office of Information Technology (OIT). The OIT is also tasked with establishing minimum requirements for AI safety tests performed in New Jersey.

On October 16, 2024, the U.S. Department of Labor (DOL) announced the release of a new roadmap aimed at enhancing worker well-being, titled *Artificial Intelligence and Worker Well-Being: Principles and Best Practices for Developers and Employers.* This document builds on guidance issued in May regarding AI principles for worker well-being and outlines specific best practices to help developers and employers implement the eight established principles effectively.

The roadmap responds to President Biden’s Executive Order on the safe and trustworthy use of AI, underscoring the critical need to inform workers—particularly those from underserved communities—and to engage them in the design, development, testing, and oversight of AI systems used in the workplace.