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ISO/IEC 42001:2023 Lead Auditor Training for AI Management Systems
ISO/IEC 42001:2023 Lead Auditor Training for AI Management Systems
Course Duration: 5 Days
Omnex is in the process of becoming an Exemplar Global Certified TPECS provider for the Exemplar Global AI and associated AU and TL Competency Units. This five-day course has been developed to satisfy the Exemplar Global QM and AU Examination Profiles and, as such, once final approval is received from Exemplar Global, all attendees who successfully pass the exams during this course will achieve a Certificate of Attainment for the following competency units:
· Exemplar Global-AI
· Exemplar Global-AU
· Exemplar Global-TL
This course was developed to cover all requirements of the ISO/IEC 42001:2023 standard. Group exercises and case studies will be used to develop the required skills. Auditing topics from ISO 19011 such as the auditing process and methodologies, e. g. planning and conducting an audit, writing nonconformity statements, preparing an audit summary and report, and verifying corrective actions are also covered with a focus on ISO/IEC 42001:2023. Auditing case studies to develop skills for identifying nonconformities will be used. Techniques for leading audit teams will also be discussed.
The ISO/IEC 42001 standard has been developed to define the requirements and controls of an Artificial Intelligence (AI) Management Systems that addresses the challenges caused by the increased usage of AI in the information technology across all sectors.
Note:: Successful completion of this course will fulfill the training requirement necessary for all Exemplar Global certified TPECS auditors to meet the knowledge requirements of the ISO/IEC 42001:2023 standard.
Learning Objectives
- Provide sufficient knowledge and understanding of the various clauses and requirements of the ISO 42001:2023 standard to support the implementation of an Artificial Intelligence Management System.
- Relate the AI Management System to the organizational products, services, activities and operational processes.
- Relate organization’s context and interested party needs and expectations to the planning and implementation of an organization’s AI Management System.
- Understand the application of the principles, procedures and techniques of auditing.
- Understand the conduct of an effective audit in the context of the auditee’s organizational situation.
- Understand the application of the regulations, and other considerations that are relevant to the management system, and the conduct of the audit.
- Practice personal attributes necessary for the effective and efficient conduct of a management system audit.
- Establish, plan and task the activities of an audit team.
- Communicate effectively with the auditee and audit client.
- Organize and direct audit team members.
- Prevent and resolve conflict with the auditee and/or within the audit team.
- Prepare and complete the audit report.
Course Outline
Day One
· The ISO/IEC 42000 Family Explained
· Introduction to ISO/IEC 42001
· ISO/IEC 42001:2023 Requirements
o Group Exercise: Context of the Organization
o Group Exercise: Assessing and Evaluating Risk
o Group Exercise: Audit Scenarios
Seminar Outline
Day Two
· ISO/IEC 42001:2023 Requirements (cont’d)
o Group Exercises: Audit Scenarios (cont’d)
· AI Control Requirements and Implementation Guidance
· AI Management Systems Exam
· Process Approach to Auditing, Turtle Diagrams and Audit Trails
o Breakout Exercise 1: Create a Turtle Diagram
· Audit Guidance, Definitions and Principles
· The Audit Program
· Initiating the Audit and Preparing Audit Activities
o Breakout Exercise 2: Documentation Review
o Breakout Exercise 3: Create an Audit Plan
Day Three
· Conduct Audit Activities: Opening Meeting and Gathering Objective Evidence
o Breakout Exercise 4: Practice an Audit Interview
· Conduct Audit Activities: Preparing Nonconformity Statements
o Breakout Exercise 5: Write Nonconformity Statements
· Conduct Audit Activities: Closing Meeting
· Prepare/Distribute the Audit Report and Complete the Audit
· Conduct Audit Follow-up (Corrective Action and Close-Out)
· Management Systems Auditing Exam
Day Four
· Leading Audit Teams
· Management System Certification Scheme and Auditor Qualifications
· Leading Management Systems Audit Teams Mock Audit Case Study
Day Five
· Review of Audit Process and Audit Management Strategies
· Leading Management Systems Audit Teams Exam
· Practical Application of Audit Principles and Instructor Interviews
Who Should Attend
This seminar is primarily designed for internal and/or external auditor candidates, but can also be valuable ISO/IEC 42001:2023 Implementation Team Members, external auditors, and anybody that is involved in the use of AI systems as well and all others who would like to develop competency in ISO/IEC 42001:2023 and the auditing process for firs, second and third party auditing.
Course Materials
Each participant will receive a seminar manual and a breakout workbook that includes auditing case studies.
Note: Omnex does not provide copies of standard(s) during training courses, but clients are encouraged to have their own copy.
Pre-Requisite
An understanding of of ISO/IEC 42001:2013 or a similar high-level structure management system (e.g., ISO 9001:2015) as well work experience applying management system standards is recommended.
ISO/IEC 42001:2023 Lead Auditor Training for AI Management Systems Program is available in multiple locations globally, including the USA, Canada, Mexico, India, Europe, Thailand, Singapore, Middle East and China.
MICHAEL DOWN
315 E. Eisenhower Parkway, Suite 300, Ann Arbor, Michigan - 48108, USATel: (734) 761-4940
Fax: (734) 761-4966
Michael Down is a Senior Consultant with extensive Engineering, Quality and Reliability experience. Whether it may be in Product Development, Manufacturing, or Quality Management Systems, his greatest desires are to improve clients understanding and improving system to provide optimum performance, quality and durability of the product or process design. He also well understands the need for reducing costs while continually improving quality & compliance/conformance.
Mr. Down has extensive experience working in the automotive industry from manufacturing and assembly to vehicle design development and software/hardware Reliability, DMFEA and PFMEAs. He spent over 32 years working for GM in the quality engineering, statistical problem solving and continuous improvement and teaching. Have taught thousands of employees over the years in relation to FMEA, Probability and Statistics, SPC, System Thinking, Deming, Reliability, and statistical problem solving. Used SPC principles to manufacturing processes at GM, increasing line efficiency and reducing cost, saving GM millions of dollars. Applied DOE to advanced design and process development, identifying critical variables and optimizing process performance. Statistically solved process and product issues in relation to casting, metal fabrication, electronics, injection molding and SMC plastics. Also, statistically solved issues in relation to stamping, heat treating, paint, and in relation to issues with oxygen sensors.
In addition, he was instrumental in the development of the GM Powertrain PFMEA guidelines. Managed quality engineers in manufacturing and assembling. Was a part of the leadership group that directed the Statistical Network within GM (assisted in facilitating Deming seminars and assisted in the training of his courses and seminar) Mike also represented GM at both SAE and AIAG, providing extensive guidance and input to the development of Global Automotive Standards reference documents on Quality and Core tools, including PFMEA, APQP/CP, PPAP, SPC, MSA, and DRBFM reference documents. Mike has been involved with FMEA standards and including developing and teaching FMEAs since the 1990s. Today, Mike is actively working on the SAE J1739 committee updating the FMEA standard to reflect AIAG-VDA FMEA.
Specialties: Training and support the development of DFMEAs and PFMEAs for FMEA 4th edition and AIAG-VDA FMEA. Lead for PQMS training development, IQFMEA tech expert, taught and developed DFA and Robust engineering courses. Deming expert, facilitation and application, DOE trainer and implementer, Represent GM at SAE and at AIAG. Expert in the area of AIAG-VDA FMEA, SPC, MSA, FMEA 4th edition, and DRBFM
EDUCATION
Bachelor of Science, Electrical Engineering, MTU, Bachelor Industrial Management in Electronic Engineering Technology from Baker College, and a Master Degree in Applied Statistics from Oakland University
GREG GRUSKA
315 E. Eisenhower Parkway, Suite 300, Ann Arbor, Michigan - 48108, USATel: (734) 761-4940
Fax: (734) 761-4966
Greg Gruska is the Omnex Champion for APQP, PPAP, FMEA, ISO 26262, Lean Six Sigma and a Fellow of the American Society for Quality (ASQ). His strength in ISO 26262 is a strong understanding and experience in systems engineering and reliability/safety analysis in both hardware and software development. Greg managed the Quality Engineering Activity at Chevrolet. This group provided benchmarking, quality engineering and statistical support to all divisional and corporate activities and their suppliers. Besides the application of statistics within the design, manufacturing, and support environments, this group was active in the development of new technologies and training in these areas. Greg additional served as a Divisional and Corporate consultant in Statistical Engineering and Management. He has traveled extensively in assisting engineering, financial, and support staffs and manufacturing plants in the investigation and solution of problems affecting quality, new product development, product failures and customer satisfaction.
Greg is also an active/writing member of the MSA, SPC, FMEA, and EFMEA Manual subcommittees of the American Automotive industry�s Supplier Quality Requirements Task Force which is part of the international task force governing TS-16949. Greg is an adjunct professor at Madonna University. He has advanced degrees in mathematics and engineering from the University of Detroit, Michigan State University and Wayne State University. He was the Deming Memorial Lecturer at the Sheffield Hallam University for the year 2000.
Greg is a charter member of the Greater Detroit Deming Study Group and the W. E. Deming Institute. He is an ASQ certified Quality Engineer, a licensed Professional Engineer (CA - Quality) and a member of the Board of Examiners of and Judge for the Michigan Quality Leadership Award (1994-2011). Greg is on the writing committee of AIAG on FMEA, a member of the SAE Functional Safety Committee (J2980) and is considered one of the foremost authorities on risk management in the world. He has considerable hardware and software experience in Automotive applications.
MARY E. ROWZEE, ASQ FELLOW
315 E. Eisenhower Parkway, Suite 300, Ann Arbor, Michigan - 48108, USATel: (734) 761-4940
Fax: (734) 761-4966
Mary Rowzee is an Omnex consultant with extensive experience and achievements in Quality Systems development, implementation and auditing to ISO 9000 series and IATF 16949 standards; Six Sigma Black Belt Problem Solving and Advance Quality Tools including: Design and Process FMEA, Design and Process Verification and Test Planning, Complex Statistical Analyses and Reliability Prediction, Modelling and Risk Reduction. Mary is a writing member of AIAG-VDA FMEA 1st edition and the Core Tools Guidelines: SPC 2nd edition, MSA 4th edition, EFMEA 1st edition, PPAP 4th edition and APQP 2nd edition.
Mary has been actively leading industry practices and application of ISO 26262 Functional Safety Standard for Electrical/ Electronic Products; Software FMEAs, ASPICE, CMMI and Quality; Supplemental Monitoring and Systems Response (MSR) FMEAs; Safety of the Intended Functionality (SOTIF) ISO 21448 and use of Safety Engineering tools (Reliability Block Diagrams, Hazard and Risk Analyses, Addressing ASIL rated risks) in Advanced Driver Assistance Systems (ADAS). She also served as GM Global representative on AIAG-VDA and SAE Quality Standards development teams.
Mary has worked for Daimler Chrysler Fiat, TRW and recently GM working as a Senior Engineer ADAS Electrical sub-systems quality for Autonomous Vehicles. She was the Quality and Reliability Resource on ADAS Electrical Sub-systems teams, used in Autonomous Vehicles. For GM she worked with internal and first tier supplier teams to develop Safety Analyses and Design FMEAs on Electrical, Mechanical and Software products in support of ISO 26262 requirements. Mary also assisted in the establishment and implementation of an aggressive Advanced Product Quality Process within GM and Supply Base. Additionally, at GM, she served as in-house consultant and coach to more than 5,000 product engineers in Six Sigma project development and implementation. Mary was an Operational Excellence Master for the GM Quality organization, leading and facilitating the highest impact, most financially significant corporate projects, in addition to teaching many courses on Six Sigma tools and techniques. Also at GM, Mary served as the Senior Leader for Global Design and Process FMEA. In this she revitalized the use of FMEAS within General Motors by developing and teaching all live and web based FMEA classes in North America and developing criteria and assessment processes for Global FMEA software selection.
While at Daimler Chrysler Fiat she served as the manager of Product and Process Integrity. In this position she supported interior and electrical product development (SMTs) areas in writing technical specifications, developing reliability requirements, constructing and executing designed experiments, developing FMEAs and Validation plans.
EDUCATION
Mary has Bachelor of Arts (BA), Psychology and Human Factors from University of Delaware, Newark, DE. She also has a Master of Science (MS), Industrial Psychology and Applied Statistics from University of Akron, Akron, OH. Mary hold numerous certifications including: Certified Reliability Engineer CRE, Certified Manager of Quality and Organizational Excellence CQM/OE, Certified Quality Engineer CQE, Certified Quality Auditor CQA, Registrar Accreditation Board Quality Auditor.
