Report

Organization: ExampleCompany
Activity name: ExampleService

https://example.com

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Publication date: Feb 6, 2025, 05:27 PM UTC

Reporting period: 2025

Section 1 - Risk identification and evaluation

a. How does your organization define and/or classify different types of risks related to AI, such as unreasonable risks?

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b. What practices does your organization use to identify and evaluate risks such as vulnerabilities, incidents, emerging risks and misuse, throughout the AI lifecycle?

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c. Describe how your organization conducts testing (e.g., red-teaming) to evaluate the model’s/system’s fitness for moving beyond the development stage?

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d. Does your organization use incident reports, including reports shared by other organizations, to help identify risks?

Yes

e. Are quantitative and/or qualitative risk evaluation metrics used and if yes, with what caveats? Does your organization make vulnerability and incident reporting mechanisms accessible to a diverse set of stakeholders? Does your organization have incentive programs for the responsible disclosure of risks, incidents and vulnerabilities?

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f. Is external independent expertise leveraged for the identification, assessment, and evaluation of risks and if yes, how? Does your organization have mechanisms to receive reports of risks, incidents or vulnerabilities by third parties?

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g. Does your organization contribute to the development of and/or use international technical standards or best practices for the identification, assessment, and evaluation of risks?

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h. How does your organization collaborate with relevant stakeholders across sectors to assess and adopt risk mitigation measures to address risks, in particular systemic risks?

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Any further comments and for implementation documentation

Hiroshima AI Process Code of Conduct - HAIP Reporting Framework.pptx

Section 2 - Risk management and information security

a. What steps does your organization take to address risks and vulnerabilities across the AI lifecycle?

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b. How do testing measures inform actions to address identified risks?

c. When does testing take place in secure environments, if at all, and if it does, how?

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d. How does your organization promote data quality and mitigate risks of harmful bias, including in training and data collection processes?

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e. How does your organization protect intellectual property, including copyright-protected content?

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f. How does your organization protect privacy? How does your organization guard against systems divulging confidential or sensitive data?

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g. How does your organization implement AI-specific information security practices pertaining to operational and cyber/physical security?
i. How does your organization assess cybersecurity risks and implement policies to enhance the cybersecurity of advanced AI systems?
ii. How does your organization protect against security risks the most valuable IP and trade secrets, for example by limiting access to proprietary and unreleased model weights? What measures are in place to ensure the storage of and work with model weights, algorithms, servers, datasets, or other relevant elements are managed in an appropriately secure environment, with limited access controls in place?
iii. What is your organization’s vulnerability management process? Does your organization take actions to address identified risks and vulnerabilities, including in collaboration with other stakeholders?
iv. How often are security measures reviewed?
v. Does your organization have an insider threat detection program?

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h. How does your organization address vulnerabilities, incidents, emerging risks?

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Section 3 - Transparency reporting on advanced AI systems

a. Does your organization publish clear and understandable reports and/or technical documentation related to the capabilities, limitations, and domains of appropriate and inappropriate use of advanced AI systems?
i. How often are such reports usually updated?
ii. How are new significant releases reflected in such reports?
iii. Which of the following information is included in your organization’s publicly available documentation: details and results of the evaluations conducted for potential safety, security, and societal risks including risks to the enjoyment of human rights; assessments of the model’s or system’s effects and risks to safety and society (such as those related to harmful bias, discrimination, threats to protection of privacy or personal data, fairness); results of red-teaming or other testing conducted to evaluate the model’s/system’s fitness for moving beyond the development stage; capacities of a model/system and significant limitations in performance with implications for appropriate use domains; other technical documentation and instructions for use if relevant.

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b. How does your organization share information with a diverse set of stakeholders (other organizations, governments, civil society and academia, etc.) regarding the outcome of evaluations of risks and impacts related to an advanced AI system?

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c. Does your organization disclose privacy policies addressing the use of personal data, user prompts, and/or the outputs of advanced AI systems?

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d. Does your organization provide information about the sources of data used for the training of advanced AI systems, as appropriate, including information related to the sourcing of data annotation and enrichment?

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e. Does your organization demonstrate transparency related to advanced AI systems through any other methods?

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Section 4 - Organizational governance, incident management and transparency

a. How has AI risk management been embedded in your organization governance framework? When and under what circumstances are policies updated?

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b. Are relevant staff trained on your organization’s governance policies and risk management practices? If so, how?

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c. Does your organization communicate its risk management policies and practices with users and/or the public? If so, how?

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d. Are steps taken to address reported incidents documented and maintained internally? If so, how?

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e. How does your organization share relevant information about vulnerabilities, incidents, emerging risks, and misuse with others?

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f. Does your organization share information, as appropriate, with relevant other stakeholders regarding advanced AI system incidents? If so, how? Does your organization share and report incident-related information publicly?

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g. How does your organization share research and best practices on addressing or managing risk?

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h. Does your organization use international technical standards or best practices for AI risk management and governance policies?

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Section 5 - Content authentication & provenance mechanisms

a. What mechanisms, if any, does your organization put in place to allow users, where possible and appropriate, to know when they are interacting with an advanced AI system developed by your organization?

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b. Does your organization use content provenance detection, labeling or watermarking mechanisms that enable users to identify content generated by advanced AI systems? If yes, how? Does your organization use international technical standards or best practices when developing or implementing content provenance?

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Section 6 - Research & investment to advance AI safety & mitigate societal risks

a. How does your organization advance research and investment related to the following: security, safety, bias and disinformation, fairness, explainability and interpretability, transparency, robustness, and/or trustworthiness of advanced AI systems?

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b. How does your organization collaborate on and invest in research to advance the state of content authentication and provenance?

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c. Does your organization participate in projects, collaborations, and investments in research that support the advancement of AI safety, security, and trustworthiness, as well as risk evaluation and mitigation tools?

d. What research or investment is your organization pursuing to minimize socio-economic and/or environmental risks from AI?

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Section 7 - Advancing human and global interests

a. What research or investment is your organization pursuing to maximize socio-economic and environmental benefits from AI? Please provide examples.

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b. Does your organization support any digital literacy, education or training initiatives to improve user awareness and/or help people understand the nature, capabilities, limitations and impacts of advanced AI systems? Please provide examples.

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c. Does your organization prioritize AI projects for responsible stewardship of trustworthy and human-centric AI in support of the UN Sustainable Development Goals? Please provide examples.

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d. Does your organization collaborate with civil society and community groups to identify and develop AI solutions in support of the UN Sustainable Development Goals and to address the world’s greatest challenges? Please provide examples.

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