{"id":77154,"date":"2024-10-30T11:04:00","date_gmt":"2024-10-30T10:04:00","guid":{"rendered":"https:\/\/krm.swiss\/services\/ai-compliance-check\/"},"modified":"2024-10-30T11:04:02","modified_gmt":"2024-10-30T10:04:02","slug":"ai-compliance-check","status":"publish","type":"page","link":"https:\/\/krm.swiss\/en\/services\/ai-compliance-check\/","title":{"rendered":"AI Compliance Check"},"content":{"rendered":"

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AI Compliance Check<\/h1>\n

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Risks of AI processes and regulatory background<\/h2>\n

AI processes are omnipresent today. The question of whether they should be used has long since ceased to arise. They are a reality and we encounter them more and more frequently in everyday life. However, with the implementation and use of AI, the risks increase for both providers and users. While most technology solutions were developed in an almost legal vacuum, this is no longer the case with AI. A large number of regulations such as the EU AI Act or data protection laws restrict the use or development of AI. But how can such risks be mitigated or optimized? This is also referred to as AI lifecycles, because AI processes must be processed and handled properly. <\/p>\n

Risk-optimized use of AI <\/strong> <\/span>– <\/strong>We make your AI processes compliant<\/strong><\/p>\n

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EXPERTISE<\/p>\n

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Key questions on the use of AI<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

Do I have to comply with legal requirements for my solution, and if so, which ones?<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” custom_padding=”||3px|||” locked=”off” global_colors_info=”{}”]<\/p>\n

Can I use them in other countries without any problems?<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

Is it compliant with data protection?<\/p>\n

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What do I need to bear in mind when processing personal data?<\/p>\n

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Who owns the generated data?<\/p>\n

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What are the security risks and threats?<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

How secure does my AI process need to be and what do I need to look out for?<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

Why is prompt engineering necessary and what are the specific risks?<\/p>\n

[\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

Do I have to make the procedure comprehensible, if so, how?<\/p>\n

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What AI architecture models are there and what risks do you need to be aware of?<\/p>\n

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Offer<\/p>\n

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Our offer<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.20.0″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

We advise you on the development and use of AI-supported processes by:<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Evaluate the existing concepts and procedures” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.21.0″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” link_option_url=” https:\/\/information- governance.ch\/services\/consulting-services\/dsgvo-short-assessment\/)” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Carry out data protection impact assessments” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.21.0″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” link_option_url=” https:\/\/information- governance.ch\/services\/consulting-services\/dsgvo-short-assessment\/)” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Create a risk assessment of the planned solution” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.21.0″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” link_option_url=”https:\/\/krm.swiss\/en\/tools-products-partners\/pid-cockpit\/” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Make and describe recommendations for modification” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.21.0″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” link_option_url=”https:\/\/www.lineback.io\/” link_option_url_new_window=”on” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Make recommendations to the decision-makers” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.21.0″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” link_option_url=”https:\/\/www.lineback.io\/” link_option_url_new_window=”on” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Carry out follow-up checks in the company and suggest improvements” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.21.0″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” link_option_url=”https:\/\/www.lineback.io\/” link_option_url_new_window=”on” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.21.0″ _module_preset=”default” background_color=”#004370″ locked=”off” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” admin_label=”row” _builder_version=”4.27.2″ _module_preset=”default” background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins|600|||||||” text_text_color=”#c3a66a” text_letter_spacing=”2px” text_line_height=”1em” text_orientation=”center” global_colors_info=”{}”]<\/p>\n

Expertise<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”|700|||||||” text_line_height=”1.3em” header_line_height=”1.3em” header_2_font=”|700|||||||” header_2_text_color=”#FFFFFF” header_2_font_size=”40px” header_2_line_height=”1.3em” text_orientation=”center” background_layout=”dark” custom_margin=”-5px||0px||false|false” custom_margin_tablet=”-15px||||false|false” custom_margin_phone=”-15px||||false|false” custom_margin_last_edited=”on|desktop” text_font_size_tablet=”” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”40px” header_2_font_size_phone=”30px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Our know-how<\/h2>\n

krm has been a data and risk expert from the very beginning. We have been dealing with information lifecycle management and the correct handling of data since 2002. Our consultants have years of experience as cyber security experts, auditors or records managers and developers of automated processes. We have developed an AI-based solution for the identification of personal data and implemented automated identification processes. Do you know, for example, that a data protection impact assessment is mandatory in many cases? <\/p>\n

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Risk<\/p>\n

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AI lifecycle-specific risk topics<\/h2>\n

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assessments” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”AI lifecycle management” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Prompt Engineering” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”AI version management” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”AI risk analysis and threat management” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Data ownership, IP and data use concepts” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Secondary Data Use” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Application concepts for AI” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Data erasure in the context of AI and GenAI” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”Transparency and traceability of procedures and processes used (black box vs. white box)” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][et_pb_blurb title=”AI ethics” use_icon=”on” font_icon=”||divi||400″ icon_placement=”left” _builder_version=”4.27.2″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_text_color=”#004370″ header_font_size=”24px” custom_margin=”1px|||||” locked=”off” global_colors_info=”{}”][\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.2″ _module_preset=”default” custom_padding=”100px||||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins|600|||||||” text_text_color=”#c3a66a” text_letter_spacing=”2px” text_line_height=”1em” text_orientation=”center” global_colors_info=”{}”]<\/p>\n

Topics<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”Poppins|700|||||||” text_line_height=”1.3em” header_line_height=”1.3em” header_2_font=”|700|||||||” header_2_text_color=”#004370″ header_2_font_size=”40px” header_2_line_height=”1.3em” text_orientation=”center” custom_margin=”-5px||0px||false|false” custom_margin_tablet=”-15px||||false|false” custom_margin_phone=”-15px||||false|false” custom_margin_last_edited=”on|desktop” text_font_size_tablet=”” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”40px” header_2_font_size_phone=”30px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Consulting topics (excerpt)<\/h2>\n

[\/et_pb_text][et_pb_toggle title=”Healthcare (sorting and classification)” _builder_version=”4.27.2″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Creation of patient dossiers and metadata validation as well as semantic processing of patient dossiers. Assignment of metadata from various taxonomies\/ontologies. Lifecycle management of data from physical form to electronic destruction. Ensuring data integrity at both technical and content level. <\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”Privacy” _builder_version=”4.27.2″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Concept and construction of an AI-based system for the recognition and identification of personal data(PID Cockpit<\/a>). Recognition and marking of critical metadata and implementation of data protection-specific requirements. <\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”Human Resources (risk assessment \/ data protection impact assessment)” _builder_version=”4.27.2″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n