CIPL Submits Response to CPPA Invitation for Preliminary Comments on Proposed Rulemaking

Listen
to
this
post

On
Monday,
March
27,
2023,
the
Centre
for
Information
Policy
Leadership
(CIPL)
at
Hunton
Andrews
Kurth
submitted
a
response
to
the
California
Privacy
Protection
Agency
(CPPA)’s

CIPL Submits Response to CPPA Invitation for Preliminary Comments on Proposed Rulemaking


Listen
to
this
post

On
Monday,
March
27,
2023,
the
Centre
for
Information
Policy
Leadership
(CIPL)
at
Hunton
Andrews
Kurth
submitted
a
response
to
the
California
Privacy
Protection
Agency
(CPPA)’s

Invitation

for
Preliminary
Comments
on
Proposed
Rulemaking
for
cybersecurity
audits,
risk
assessments
and
automated
decisionmaking.

CIPL
has
a
long
history
of
promoting
responsible
data
practices
through
its
efforts
regarding
organizational
accountability.
When
paired
with
clear
guidance
from
regulators,
organizational
accountability
supports
businesses
in
achieving
effective
risk
assessments
and
responsible
decisions
regarding
data
uses,
including
automatic
decisionmaking.

Regarding

risk
assessments
,
CIPL
offered
the
following
considerations:

  • Regulations
    or
    regulatory
    guidance
    should
    set
    forth
    the
    specific
    harms
    that
    should
    be
    identified
    and
    considered
    in
    a
    risk
    assessment;
  • Prescriptive
    lists
    of
    scenarios,
    technologies
    or
    processing
    activities
    that
    are
    considered
    a
    “significant
    risk”
    should
    be
    avoided.
    Instead,
    it
    would
    be
    helpful
    to
    provide
    non-exhaustive
    lists
    describing
    (1)
    the
    kinds
    of
    high-risk
    processing
    operations
    that
    may
    require
    more
    detailed
    and
    robust
    risk
    assessments
    or
    data
    protection
    impact
    assessments,
    and
    (2)
    the
    kinds
    of
    low-risk
    processing
    that
    likely
    do
    not;
  • Risk
    mitigation
    does
    not
    mean
    the
    elimination
    of
    risk,
    but
    the
    reduction
    of
    risk
    to
    the
    greatest
    reasonable
    extent,
    given
    the
    desired
    benefits
    and
    reasonable
    economic
    and
    technological
    parameters.
    Regulations
    should
    help
    businesses
    make
    reasoned
    and
    evidence-based
    decisions
    on
    whether
    to
    proceed
    with
    processing
    in
    light
    of
    any
    residual
    risks
    and
    taking
    into
    account
    proportionality;
  • While
    the
    CPPA
    should
    provide
    risk
    assessment
    templates
    detailing
    minimum
    requirements,
    it
    should
    maintain
    a
    flexible
    approach
    so
    long
    as
    all
    substantive
    considerations
    are
    included
    based
    on
    the
    context
    of
    the
    processing;
  • Promote
    interoperability
    between
    jurisdictions
    and
    clarify
    through
    guidance
    how
    businesses
    can
    “bridge”
    technical
    differences
    between
    legal
    systems,
    such
    as
    the
    definition
    of
    “personal
    data”;
  • Provide
    businesses
    with
    clear
    guidance
    on
    what
    should
    be
    included
    in
    a
    risk
    assessment
    summary;
  • Assess
    compliance
    based
    on
    demonstrable
    good
    faith
    and
    due
    diligence;
  • Clarify
    that
    the
    disclosure
    of
    a
    risk
    assessment
    and
    summary
    in
    response
    to
    a
    request
    from
    the
    California
    Attorney
    General
    or
    the
    CPPA
    does
    not
    constitute
    a
    waiver
    of
    any
    attorney-client
    privilege
    or
    work-product
    protection
    that
    might
    exist
    with
    respect
    to
    any
    information
    contained
    in
    the
    risk
    assessment
    and
    summary;
    and
  • Recognize
    that
    identifying
    risk
    and
    harm
    is
    largely
    a
    context-specific
    exercise.

Regarding

automatic
decisionmaking

(“ADM”),
CIPL
offers
the
following
considerations:

  • Instead
    of
    prohibiting
    all
    or
    certain
    categories
    of
    ADM
    while
    allowing
    for
    certain
    exceptions,
    focus
    rules
    on
    ADM
    that
    produces
    legal
    or
    similarly
    significant
    effects;
  • For
    such
    regulated
    ADM,
    establish
    robust
    ex
    ante
    risk
    assessment
    and
    mitigation
    requirements,
    as
    well
    as
    other
    accountability
    obligations,
    such
    as
    transparency,
    human
    review
    and
    robust
    ex
    post
    redress
    rights
    for
    erroneous
    or
    inappropriate
    decisions;
  • Provide
    examples
    of
    automated
    decisions
    producing
    “similarly
    significant”
    effects;
  • Examples
    of
    ADM
    producing
    legal
    or
    similarly
    significant
    effects
    should
    be
    rebuttable
    by
    businesses,
    as
    demonstrated
    through
    risk
    assessments;
  • Clarify
    that
    businesses
    should
    find
    simple
    ways
    to
    inform
    individuals
    about
    the
    rationale
    behind
    or
    the
    criteria
    relied
    on
    in
    reaching
    the
    decision
    without
    providing
    a
    complex
    explanation
    of
    the
    algorithms
    used
    or
    disclosure
    of
    the
    full
    algorithm;
  • Providing
    appropriate
    ADM
    transparency
    is
    contextual
    and
    rules
    on
    transparency
    should
    be
    flexible
    enough
    to
    accommodate
    different
    use
    cases;
    and
  • Clarify
    the
    scope
    of
    “profiling”
    by
    addressing
    solely
    automated
    activities
    that
    produce
    legal
    or
    significantly
    similar
    effects.

You
can
read
the
entire
CIPL
response

here

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