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We must fundamentally change the way we think about Artificial Intelligence
The Science, Innovation, and Technology Committee has released its final report for the 2019-24 Parliament, concluding its inquiry into the governance of Artificial Intelligence (AI). This report examines both domestic and international developments in AI governance and regulation since the Committee’s interim report in August 2023.
The report emphasizes that its conclusions and recommendations are relevant to the upcoming government post-General Election. While affirming the current sectoral approach to regulation, the Committee suggests that the next government should be prepared to enact legislation on AI if any regulatory gaps emerge in addressing public interests in this rapidly evolving field.
Revisiting the Twelve Challenges of AI Governance outlined in the interim report, the Committee provides recommendations for policymakers on how to address these challenges. One of the most significant challenges identified is the opacity of AI systems, often referred to as a ‘black box’, where the basis and reasoning behind AI outputs may be obscure, yet their predictive capabilities can surpass human abilities. In response, the Committee advocates for stronger testing of AI outputs to evaluate their effectiveness and accuracy.
Expressing concern over reports that the new AI Safety Institute has encountered difficulties accessing some developers’ models for pre-deployment safety testing, the Committee urges the next government to identify and publicly name any developers who refuse such access. This aligns with the agreement made at the November 2023 Summit at Bletchley Park. The Committee stresses the importance of equipping UK regulators with adequate resources to hold AI developers accountable, citing the disparity between regulatory capabilities and the vast resources available to developers.
Chair of the Science, Innovation, and Technology Committee, Rt Hon Greg Clark MP, highlights the need for a shift in assessing AI technology due to the inherent challenges posed by ‘black box’ models. He underscores the importance of testing AI outputs to detect any biases or undesirable consequences. Additionally, he calls on the next government to be proactive in addressing regulatory shortcomings and ensuring that regulators have the necessary statutory powers to be effective in overseeing AI developments.
In conclusion, the Committee emphasizes the transformative potential of AI while emphasizing the importance of safeguarding public protections. It urges the new government to follow the agenda outlined in the report to harness the benefits of AI responsibly.
Source: committees.parliament.uk
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AImotive, a leading provider of automated driving technology, has announced that its aiSim 5 simulation platform has achieved ISO 26262 ASIL-D re-certification. This certification reaffirms the platform’s compliance with the highest safety standards for automotive software.
About aiSim 5
aiSim 5 is a state-of-the-art simulation platform designed to test and validate automated driving systems. It provides a realistic and comprehensive environment for evaluating the performance and safety of these systems. The platform supports various testing scenarios, including edge cases and extreme conditions, ensuring thorough validation.
Importance of ASIL-D Certification
ISO 26262 ASIL-D is the highest safety integrity level for automotive software. Achieving this certification demonstrates that aiSim 5 meets rigorous safety standards and can be trusted to support the development of safe and reliable automated driving systems. This certification is crucial for gaining the confidence of automotive manufacturers and regulatory bodies.
Future Developments
AImotive plans to continue enhancing aiSim 5 to address the evolving needs of the automotive industry. The company aims to support more advanced testing scenarios and integrate new technologies to further improve the platform’s capabilities.
Source of the news: AiThority
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The American College of Radiology (ACR) has introduced a new AI Quality Assurance (QA) program designed to support radiology practices. This program aims to ensure the safe and effective use of AI in radiology, enhancing patient care and improving diagnostic accuracy.
Program Overview
The AI QA program provides a framework for radiology practices to evaluate and monitor AI applications. It includes guidelines for selecting, implementing, and assessing AI tools, ensuring they meet high standards of quality and performance. The program also offers resources and training to help radiologists integrate AI into their workflows.
Benefits for Radiology Practices
Radiology practices that adopt the AI QA program can benefit from improved diagnostic accuracy and efficiency. The program helps practices identify the most effective AI tools and ensures they are used safely and appropriately. This can lead to better patient outcomes and increased confidence in AI technologies.
Future Prospects
The ACR plans to expand the AI QA program to cover more AI applications and provide ongoing support to radiology practices. This initiative is part of a broader effort to promote the responsible use of AI in healthcare and ensure it delivers on its promise to improve patient care.
Source of the news: Healthcare IT News
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The General Services Administration (GSA) has announced an AI-themed hackathon, inviting participants to develop innovative solutions using artificial intelligence. This event aims to foster innovation and collaboration in the AI community.
Hackathon Details
The AI-themed hackathon will bring together developers, data scientists, and AI enthusiasts to tackle various challenges using AI technologies. Participants will work in teams to create solutions that address real-world problems, with a focus on improving government services and operations.
Objectives
The primary objective of the hackathon is to explore the potential of AI in enhancing government services. The GSA hopes to identify innovative applications of AI that can be implemented across various government agencies. Additionally, the hackathon aims to promote collaboration and knowledge-sharing within the AI community.
Expected Outcomes
The GSA expects the hackathon to generate a range of creative and practical AI solutions. Winning teams will have the opportunity to showcase their projects and potentially collaborate with government agencies to implement their solutions.
Source of the news: Fedscoop
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