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• RR1173 - Forestry wood chippers: suitability of measurement procedures used to provide the manufacturer's and supplier's noise advice to purchasers and users (2022)
• RR1172 - Mechanical assessment of tower crane slewing brakes (2022)
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• RR1166 - Gas dispersion model DRIFT 3.6.14: modelling the dispersion of flashing instantaneous releases of toxic substances (2022)
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RR1170 - High Rise Residential Buildings: Preliminary Serious Incident Scenarios and Potential Control Measures (2021)

• RR1164 - The effectiveness of British Standard BS EN ISO 28927-10:2011 concerning the vibration emission of percussive drills, hammers and breakers (2020)
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• RR1162 - Standard test codes for the declaration of vibration emission: a review of research carried out by the Health and Safety Executive (2020)
• RR1161 - The response of large pressure vessels in the process industries to excess pressure: literature review (2020)
• RR1159 - International Association for Hydrogen Safety 'Research Priorities Workshop', September 2018, Buxton, UK (2020)
• RR1158 - Application of a risk-based method to evaluate operator visibility from a large rigid frame dumper truck (2020)
• RR1157 - Application of a risk-based method to evaluate operator visibility from an hydraulic excavator (2020)
• RR1156 - Visibility risk zone method to evaluate operator visibility for earth-moving machinery (2020)

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Human Factors Integration: Implementation in the Onshore and Offshore Industries

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Aimed at onshore and offshore systems designers and assessors, seeks to provide guidance for the integration of human factors (HF) principles into the onshore and offshore system design and development process. Includes: the scope of human factors; integrating human factors into systems development; the human-centred approach to systems development; managing human factors integration; involving human factors throughout the development lifecycle; human factors techniques; checklist for human factors best practice. This report and the work it describes were funded by the Health and Safety Executive (HSE). Its contents, including any opinions and/or conclusions expressed, are those of the author(s) alone and do not necessarily reflect HSE policy

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Organizational Safety Perception Survey—A Tool to Identify and Correct Organizational Contributors for Industrial Accidents

• Conference paper
• First Online: 03 September 2021
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• N. N. Pisharody 8 ,
• Kanchan Deoli Bahukhandi 9 ,
• Prashant S. Rawat 9 &
• R. K. Elangovan 10  

Part of the book series: Springer Proceedings in Earth and Environmental Sciences ((SPEES))

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Safety perception survey is a tool to understand organizational culture on accident prevention and control. It facilitates to extract weak safety culture attributes within the organization, which contribute to accidents. Identifying and addressing the weak attributes of safety culture will help organization to improve accident prevention and control culture. Effective implementation of corrective measures is expected to prevent accidents and support organization in its tread towards Zero Harm. This paper gives details of an organizational safety perception survey conducted in a Public Sector Power Company in India and corrective measures to address weak attributes.

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Acknowledgements

The authors acknowledge the support of officials of the Public Sector Power Company for extending technical and administrative supports for carrying out Safety Perception Survey. The article has been written as a voluntary effort and has not of received any funding. Opinions expressed are those of authors and not of their organizations.

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None of the contributing authors have conflicts of interest to declare.

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Nuclear Power Corporation of India Limited (NPCIL), Mumbai, India

N. N. Pisharody

University of Petroleum and Energy Studies (UPES), Dehradun, India

Kanchan Deoli Bahukhandi & Prashant S. Rawat

Directorate General of Factory Advice and Labor Institute (DGFASLI), Mumbai, India

R. K. Elangovan

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University of Petroleum and Energy Studies, Dehradun, India

Nihal Anwar Siddiqui

Kanchan Deoli Bahukhandi

S. M. Tauseef

DBS (PG) College, Dehradun, India

Nirmala Koranga

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Pisharody, N.N., Bahukhandi, K.D., Rawat, P.S., Elangovan, R.K. (2021). Organizational Safety Perception Survey—A Tool to Identify and Correct Organizational Contributors for Industrial Accidents. In: Siddiqui, N.A., Bahukhandi, K.D., Tauseef, S.M., Koranga, N. (eds) Advances in Environment Engineering and Management. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-79065-3_36

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FACT SHEET: Biden- ⁠ Harris Administration Announces New AI Actions and Receives Additional Major Voluntary Commitment on   AI

Nine months ago, President Biden issued a landmark Executive Order to ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence (AI). This Executive Order built on the voluntary commitments he and Vice President Harris received from 15 leading U.S. AI companies last year. Today, the administration announced that Apple has signed onto the voluntary commitments, further cementing these commitments as cornerstones of responsible AI innovation. In addition, federal agencies reported that they completed all of the 270-day actions in the Executive Order on schedule, following their on-time completion of every other task required to date . Agencies also progressed on other work directed for longer timeframes. Following the Executive Order and a series of calls to action made by Vice President Harris as part of her major policy speech before the Global Summit on AI Safety, agencies all across government have acted boldly. They have taken steps to mitigate AI’s safety and security risks, protect Americans’ privacy, advance equity and civil rights, stand up for consumers and workers, promote innovation and competition, advance American leadership around the world, and more. Actions that agencies reported today as complete include the following: Managing Risks to Safety and Security: Over 270 days, the Executive Order directed agencies to take sweeping action to address AI’s safety and security risks, including by releasing vital safety guidance and building capacity to test and evaluate AI. To protect safety and security, agencies have:

• Released for public comment new technical guidelines from the AI Safety Institute (AISI) for leading AI developers in managing the evaluation of misuse of dual-use foundation models. AISI’s guidelines detail how leading AI developers can help prevent increasingly capable AI systems from being misused to harm individuals, public safety, and national security, as well as how developers can increase transparency about their products.
• Published final frameworks on managing generative AI risks and securely developing generative AI systems and dual-use foundation models. These documents by the National Institute of Standards and Technology (NIST) will provide additional guidance that builds on NIST’s AI Risk Management Framework, which offered individuals, organizations, and society a framework to manage AI risks and has been widely adopted both in the U.S. and globally. NIST also submitted a report to the White House outlining tools and techniques to reduce the risks from synthetic content.
• Developed and expanded AI testbeds and model evaluation tools at the Department of Energy (DOE). DOE, in coordination with interagency partners, is using its testbeds to evaluate AI model safety and security, especially for risks that AI models might pose to critical infrastructure, energy security, and national security. DOE’s testbeds are also being used to explore novel AI hardware and software systems, including privacy-enhancing technologies that improve AI trustworthiness. The National Science Foundation (NSF) also launched an initiative to help fund researchers outside the federal government design and plan AI-ready testbeds.
• Reported results of piloting AI to protect vital government software.  The Department of Defense (DoD) and Department of Homeland Security (DHS) reported findings from their AI pilots to address vulnerabilities in government networks used, respectively, for national security purposes and for civilian government. These steps build on previous work to advance such pilots within 180 days of the Executive Order.
• Issued a call to action from the Gender Policy Council and Office of Science and Technology Policy to combat image-based sexual abuse, including synthetic content generated by AI. Image-based sexual abuse has emerged as one of the fastest growing harmful uses of AI to-date, and the call to action invites technology companies and other industry stakeholders to curb it. This call flowed from Vice President Harris’s remarks in London before the AI Safety Summit, which underscored that deepfake image-based sexual abuse is an urgent threat that demands global action.

Bringing AI Talent into Government Last year, the Executive Order launched a government-wide AI Talent Surge that is bringing hundreds of AI and AI-enabling professionals into government. Hired individuals are working on critical AI missions, such as informing efforts to use AI for permitting, advising on AI investments across the federal government, and writing policy for the use of AI in government.

• To increase AI capacity across the federal government for both national security and non-national security missions, the AI Talent Surge has made over 200 hires to-date, including through the Presidential Innovation Fellows AI cohort and the DHS AI Corps .
• Building on the AI Talent Surge 6-month report , the White House Office of Science and Technology Policy announced new commitments from across the technology ecosystem, including nearly $100 million in funding, to bolster the broader public interest technology ecosystem and build infrastructure for bringing technologists into government service.

Advancing Responsible AI Innovation President Biden’s Executive Order directed further actions to seize AI’s promise and deepen the U.S. lead in AI innovation while ensuring AI’s responsible development and use across our economy and society. Within 270 days, agencies have:

• Prepared and will soon release a report on the potential benefits, risks, and implications of dual-use foundation models for which the model weights are widely available, including related policy recommendations. The Department of Commerce’s report draws on extensive outreach to experts and stakeholders, including hundreds of public comments submitted on this topic.
• Awarded over 80 research teams’ access to computational and other AI resources through the National AI Research Resource (NAIRR) pilot —a national infrastructure led by NSF, in partnership with DOE, NIH, and other governmental and nongovernmental partners, that makes available resources to support the nation’s AI research and education community. Supported projects will tackle deepfake detection, advance AI safety, enable next-generation medical diagnoses and further other critical AI priorities.
• Released a guide for designing safe, secure, and trustworthy AI tools for use in education. The Department of Education’s guide discusses how developers of educational technologies can design AI that benefits students and teachers while advancing equity, civil rights, trust, and transparency. This work builds on the Department’s 2023 report outlining recommendations for the use of AI in teaching and learning.
• Published guidance on evaluating the eligibility of patent claims involving inventions related to AI technology,  as well as other emerging technologies. The guidance by the U.S. Patent and Trademark Office will guide those inventing in the AI space to protect their AI inventions and assist patent examiners reviewing applications for patents on AI inventions.
• Issued a report on federal research and development (R&D) to advance trustworthy AI over the past four years. The report by the National Science and Technology Council examines an annual federal AI R&D budget of nearly $3 billion.
• Launched a $23 million initiative to promote the use of privacy-enhancing technologies to solve real-world problems, including related to AI.  Working with industry and agency partners, NSF will invest through its new Privacy-preserving Data Sharing in Practice program in efforts to apply, mature, and scale privacy-enhancing technologies for specific use cases and establish testbeds to accelerate their adoption.
• Announced millions of dollars in further investments to advance responsible AI development and use throughout our society. These include $30 million invested through NSF’s Experiential Learning in Emerging and Novel Technologies program—which supports inclusive experiential learning in fields like AI—and $10 million through NSF’s ExpandAI program, which helps build capacity in AI research at minority-serving institutions while fostering the development of a diverse, AI-ready workforce.

Advancing U.S. Leadership Abroad President Biden’s Executive Order emphasized that the United States lead global efforts to unlock AI’s potential and meet its challenges. To advance U.S. leadership on AI, agencies have:

• Issued a comprehensive plan for U.S. engagement on global AI standards.  The plan, developed by the NIST, incorporates broad public and private-sector input, identifies objectives and priority areas for AI standards work, and lays out actions for U.S. stakeholders including U.S. agencies. NIST and others agencies will report on priority actions in 180 days. 
• Developed guidance for managing risks to human rights posed by AI. The Department of State’s “Risk Management Profile for AI and Human Rights”—developed in close coordination with NIST and the U.S. Agency for International Development—recommends actions based on the NIST AI Risk Management Framework to governments, the private sector, and civil society worldwide, to identify and manage risks to human rights arising from the design, development, deployment, and use of AI. 
• Launched a global network of AI Safety Institutes and other government-backed scientific offices to advance AI safety at a technical level. This network will accelerate critical information exchange and drive toward common or compatible safety evaluations and policies.
• Launched a landmark United Nations General Assembly resolution . The unanimously adopted resolution, with more than 100 co-sponsors, lays out a common vision for countries around the world to promote the safe and secure use of AI to address global challenges.
• Expanded global support for the U.S.-led Political Declaration on the Responsible Military Use of Artificial Intelligence and Autonomy.   Fifty-five nations now endorse the political declaration, which outlines a set of norms for the responsible development, deployment, and use of military AI capabilities.

The Table below summarizes many of the activities that federal agencies have completed in response to the Executive Order:

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Scientists Keep Finding Heavy Metals in Dark Chocolate. Should You Worry?

New research adds to the evidence that certain cocoa products contain lead and cadmium.

By Dani Blum

New research published Wednesday found heavy metals in dark chocolate, the latest in a string of studies to raise concerns about toxins in cocoa products.

The researchers tested 72 dark chocolate bars, cocoa powders and nibs to see if they were contaminated with heavy metals in concentrations higher than those deemed safe by California’s Proposition 65, one of the nation’s strictest chemical regulations.

Among the products tested, 43 percent contained higher levels of lead than the law considers safe, and 35 percent had higher concentrations of cadmium. Both metals are considered toxic and have been associated with a range of health issues. The study did not name specific brands, but found that organic products were more likely to have higher concentrations. Products certified as “fair trade” did not have lower levels of heavy metals.

But on the whole, the levels were not so high that the average consumer should be concerned about eating dark chocolate in moderation, said Jacob Hands, the lead author on the paper and a medical student at George Washington University School of Medicine and Health Sciences.

Nearly all of the chocolates contained less than the Food and Drug Administration’s reference limits for lead, which are less stringent than the California requirement. And while both cadmium and lead can carry significant health risks, it’s not clear at this point that eating a few squares of dark chocolate poses a risk to most healthy adults.

“Just the fact that it exists doesn’t necessarily mean immediately there’s going to be some terrible health consequence,” said Laura Corlin, an associate professor of public health and community medicine at Tufts University School of Medicine who was not involved in the study.

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HSE 001 Making compliance easier (formerly Managing rule breaking)

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• Published: February 2020
• Edition: 4th
• Status: Current
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