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IEEE 7001:2001 - STANDARD FOR
TRANSPARENCY OF AUTONOMOUS SYSTEMS
GENERAL
REMARKS ON
IEEE STANDARDS
• Compliance with IEEE standards does not
constitute compliance to regulatory frameworks
• The use of IEEE std is wholly voluntary
• Users of IEEE std should rely on their own
independent judgement
• IEEE standards are reviewed after 10 years
IEEE 7001-2021
STANDARD FOR
TRANSPARENCY
OF AUTOMATED
SYSTEMS
TARGET
AUDIENCE
• Direct users
• Expert
stakeholders
• Certification or
regulatory bodies
• Incident investigators
• Expert advisors in
administrative actions or litigation
• Wider society
• Directly
benefited
1) Designers, developers, builders,
maintainers, operators, and
decision-makers and procurers of AIS
2) STAKEHOLDERS: groups who benefit from transparency
STAKEHOLDERS
• Non-experts
Interact with the
system (e.g.
customers)
• Domain experts
Those responsbile
for operating the AS
• Direct Users of AI systems
• Superusers
Experts in the AS
Example: Autonomous delivery vehicle
They do not direcly encounter an AS but
may be affected directly or indirectly by its
deployment
• General Public
• Bystanders
USING THE
STANDARD
System Transparency Specification (STS)
Definition of the transparency requirements
of an AI system for each stakeholder group
System Transparency Assessment (STA)
Evaluation of the the transparency of an AI system
for each stakeholder group.
Comparison of transparency requirements in the STS
with measured transparency in the STA to reveal
gaps that need to be addressed in an AI system
for each stakeholder group
TRANSPARENCY
REQUIREMENTS
• IEEE 7001 establishes requirements for
measurable, testable levels of transparency within
each stakeholder category (direct beneficiaries and
expert stakeholders)
• Levels of transparency are defined from 0 (no
transparency) to 5 (maximum achievable level of
transparency)
• Each definition is a requirement, expressed as a
qualitative property of the system that must be met
• A transparency property required by a given level
for a given stakeholder group is either present or
not
Transparency Levels
1 2 3 4 5
Yes Yes No
USING THE
STANDARD
EXAMPLE
Level Definition
1
• Explanation of the AS general principles of
operation
2
• Interactive training material for the user to
rehearse its interactions with the AS
3
• Brief and immediate explanation of the AS most
recent activity
4
• Brief and immediate explanation of what the AS
does in a given situation, allowing to explore
hypotetical ‘what if’ situations
5
• Continuous explanation of behaviour that adapts
the content and presentation of the explanation
based on the user’s information needs and context
Transparency requirements for Users
(illustrative sample)
APPLYING IEEE 7001
IEEE 7001 - SCORESHEET
IMPORTANCE
• Compliance with regulations
• If your system interacts with individuals, it is highly
likely that it will fall under privacy regulations
• For instance, training an AI system with personal
data or delivering a prediction concerning a person
constitute processing operations
• GDPR, CPRA, Quebec Bill 64, among others, include
additional transparency requirements for automated
decision-making systems
• Ethical reasons
• Individuals need to be able to understand what the
systems are doing and why
• Transparency improves accountability
CONTACT US
For more information
Subscribe to Privacy and AI Weekly

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Presentation IEEE 7001 Std.pdf

  • 1. IEEE 7001:2001 - STANDARD FOR TRANSPARENCY OF AUTONOMOUS SYSTEMS
  • 2. GENERAL REMARKS ON IEEE STANDARDS • Compliance with IEEE standards does not constitute compliance to regulatory frameworks • The use of IEEE std is wholly voluntary • Users of IEEE std should rely on their own independent judgement • IEEE standards are reviewed after 10 years
  • 4. TARGET AUDIENCE • Direct users • Expert stakeholders • Certification or regulatory bodies • Incident investigators • Expert advisors in administrative actions or litigation • Wider society • Directly benefited 1) Designers, developers, builders, maintainers, operators, and decision-makers and procurers of AIS 2) STAKEHOLDERS: groups who benefit from transparency
  • 5. STAKEHOLDERS • Non-experts Interact with the system (e.g. customers) • Domain experts Those responsbile for operating the AS • Direct Users of AI systems • Superusers Experts in the AS Example: Autonomous delivery vehicle They do not direcly encounter an AS but may be affected directly or indirectly by its deployment • General Public • Bystanders
  • 6. USING THE STANDARD System Transparency Specification (STS) Definition of the transparency requirements of an AI system for each stakeholder group System Transparency Assessment (STA) Evaluation of the the transparency of an AI system for each stakeholder group. Comparison of transparency requirements in the STS with measured transparency in the STA to reveal gaps that need to be addressed in an AI system for each stakeholder group
  • 7. TRANSPARENCY REQUIREMENTS • IEEE 7001 establishes requirements for measurable, testable levels of transparency within each stakeholder category (direct beneficiaries and expert stakeholders) • Levels of transparency are defined from 0 (no transparency) to 5 (maximum achievable level of transparency) • Each definition is a requirement, expressed as a qualitative property of the system that must be met • A transparency property required by a given level for a given stakeholder group is either present or not Transparency Levels 1 2 3 4 5 Yes Yes No
  • 8. USING THE STANDARD EXAMPLE Level Definition 1 • Explanation of the AS general principles of operation 2 • Interactive training material for the user to rehearse its interactions with the AS 3 • Brief and immediate explanation of the AS most recent activity 4 • Brief and immediate explanation of what the AS does in a given situation, allowing to explore hypotetical ‘what if’ situations 5 • Continuous explanation of behaviour that adapts the content and presentation of the explanation based on the user’s information needs and context Transparency requirements for Users (illustrative sample)
  • 10. IEEE 7001 - SCORESHEET
  • 11. IMPORTANCE • Compliance with regulations • If your system interacts with individuals, it is highly likely that it will fall under privacy regulations • For instance, training an AI system with personal data or delivering a prediction concerning a person constitute processing operations • GDPR, CPRA, Quebec Bill 64, among others, include additional transparency requirements for automated decision-making systems • Ethical reasons • Individuals need to be able to understand what the systems are doing and why • Transparency improves accountability
  • 12. CONTACT US For more information Subscribe to Privacy and AI Weekly