Tag: American Academy of Actuaries

Actuarial Professionalism Considerations for Generative AI

Mary Pat Campbell

Link: https://www.actuary.org/sites/default/files/2024-09/professionalism-paper-generative-ai.pdf

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This paper describes the use and professionalism considerations for actuaries using
generative artificial intelligence (GenAI) to provide actuarial services. GenAI generates text,
quantitative, or image content based on training data, typically using a large language model
(LLM). Examples of GenAI deployments include Open AI GPT, Google Gemini, Claude,
and Meta. GenAI transforms information acquired from training data into entirely new
content. In contrast, predictive AI models analyze historical quantitative data to forecast
future outcomes, functioning like traditional predictive statistical models.


Actuaries have a wide range of understanding of AI. We assume the reader is broadly
familiar with AI and AI model capabilities, but not necessarily a designer or expert user. In
this paper, the terms “GenAI,” “AI,” “AI model(s),” and “AI tool(s)” are used interchangeably.
This paper covers the professionalism fundamentals of using GenAI and only briefly
discusses designing, building, and customizing GenAI systems. This paper focuses on
actuaries using GenAI to support actuarial conclusions, not on minor incidental use of AI
that duplicates the function of tools such as plug-ins, co-pilots, spreadsheets, internet search
engines, or writing aids.


GenAI is a recent development, but the actuarial professionalism framework helps actuaries
use GenAI appropriately: the Code of Professional Conduct, the Qualification Standards
for Actuaries Issuing Statements of Actuarial Opinion in the United States (USQS), and the
actuarial standards of practice (ASOPs). Although ASOP No. 23, Data Quality; No. 41,
Actuarial Communications; and No. 56, Modeling, were developed before GenAI was widely
available, each applies in situations when GenAI may now be used. The following discussion
comments on these topics, focusing extensively on the application of ASOP No. 56, which
provides guidance for actuaries when they are designing, developing, selecting, modifying,
using, reviewing, or evaluating models. GenAI is a model; thus ASOP No. 56 applies.


The paper explores use cases and addresses conventional applications, including quantitative
and qualitative analysis, as of mid-2024, rather than anticipating novel uses or combinations
of applications. AI tools change quickly, so the paper focuses on principles rather than
the technology. The scope of this paper does not include explaining how AI models are
structured or function, nor does it offer specific guidelines on AI tools or use by the actuary
in professional settings. Given the rapid rate of change within this space, the paper makes no
predictions about the rapidly evolving technology, nor does it speculate on future challenges
to professionalism.

Author(s): Committee on Professional Responsibility of the American Academy of Actuaries

Committee on Professional
Responsibility
Geoffrey C. Sandler, Chairperson
Brian Donovan
Richard Goehring
Laura Maxwell
Shawn Parks
Matthew Wininger
Kathleen Wong
Yukki Yeung
Paul Zeisler
Melissa Zrelack

Artificial Intelligence Task Force
Prem Boinpally
Laura Maxwell
Shawn Parks
Fei Wang
Matt Wininger
Kathy Wong
Yukki Yeung

Publication Date: September 2024

Publication Site: American Academy of Actuaries

You Might Live Longer Than You Think. Your Finances Might Not.

Mary Pat Campbell

Link: https://www.wsj.com/articles/death-finances-and-how-many-of-us-get-our-money-needs-wrong-51a660a2?st=latmuov31yafzz9&reflink=desktopwebshare_permalink

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Demographers and actuaries make the following distinction between life expectancy and longevity: Life expectancy refers to the average number of years someone will live from a given age, whereas longevity refers to how long he or she might live if everything goes well, typically expressed as the probability of living beyond a certain age such as 85, 90 or even 100.

A growing body of evidence shows that many people are ignorant of their so-called longevity risk—the probability of living a very long time—and the complications that presents. 

….

Drs. Hurwitz and Mitchell note that retirement calculators provide information about average life expectancy, but not longevity. They have found that about five times as many Census Bureau publications relate to life expectancy as longevity. Thus, people who have planned appropriately for their life expectancy might miss how likely they are to live longer. 

….

People can look up their longevity risk with an online Longevity Illustrator maintained by the American Academy of Actuaries and Society of Actuaries, based off the latest mortality data from the Social Security Administration. 

Author(s): Josh Zumbrun

Publication Date: 10 Feb 2023

Publication Site: WSJ

Solvency And Sustainability Of Social Security

Mary Pat Campbell

Link:https://www.lifehealth.com/solvency-and-sustainability-of-social-security/

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2021 Costs Exceed Income

As seen from subtracting the total cost shown in Table 2 from the total income shown in Table 1, Social Security paid out $56.3 billion more in benefits and expenses than it collected in income.

Because Social Security has trust funds, the total costs of 2021 were still met. However, the trust funds declined in 2021 by the $56.3 billion that costs exceeded income. At the end of 2020, the trust funds totaled $2,908.3 billion, and at the end of 2021, the trust funds totaled $2,852.0 billion.

Solvency

As highlighted in the Academy’s issue brief An Actuarial Perspective on the 2022 Social Security Trustees Report, the 2022 Trustees Report contains key solvency facts about the system:

  • Social Security costs continue to be projected to exceed the income of the program, until the trust funds are projected to become depleted during 2035.
  • If changes to the program are not implemented before 2035, 80% of scheduled benefits would be payable after depletion of the trust funds in 2035, declining to 74% by 2096.

Author(s): Amy Kemp, MAAA, ASA, EA

Publication Date: October 2022

Publication Site: Advisor Magazine

IFRS 17—The Time Is Now

Mary Pat Campbell

Link: https://contingencies.org/ifrs-17-the-time-is-now/

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The more fundamental changes affect the measurement of future services (previously termed as “Reserves”). Many insurance accounting regimes have tried to stabilize their financial statements over the years; therefore, they calculated their reserves based on historic information—locked-in assumptions for insurance parameters as well as historic interest rates. The latter, however, are not in line with the use of market values for the asset side of the balance sheet, which is now perceived as the only fair-value representation for the different stakeholders. Therefore, the measurement of the liabilities in IFRS 17 will always be based on current assumptions.

Due to the compound effect over many projected years, the regular update of assumptions (particularly interest rate or discounting assumptions) can make long-term liabilities much more volatile.

Author(s): Michael Winkler and Sunil Kansal

Publication Date: October 2022

Publication Site: Contingencies

An Actuarial View of Correlation and Causation—From Interpretation to Practice to Implications

Mary Pat Campbell

Link: https://www.actuary.org/sites/default/files/2022-07/Correlation.IB_.6.22_final.pdf

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Examine the quality of the theory behind the correlated variables. Is there good
reason to believe, as validated by research, the variables would occur together? If such
validation does not exist, then the relationship may be spurious. For example, is there
any validation to the relationship between the number of driver deaths in railway
collisions by year (the horizontal axis), and the annual imports of Norwegian crude
oil by the U.S., as depicted below?36 This is an example of a spurious correlation. It is
not clear what a rational explanation would be for this relationship.

Author(s): Data Science and Analytics Committee

Publication Date: July 2022

Publication Site: American Academy of Actuaries

BIG DATA AND ALGORITHMS IN ACTUARIAL MODELING AND CONSUMER IMPACTS

Mary Pat Campbell

Link: https://www.actuary.org/sites/default/files/2022-08/IABAAug2022_Sandberg_Presentation.pdf

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Systemic Influences and Socioeconomics
❑ Checking for and removing of systemic biases is difficult.
❑ Systemic biases can creep in at every step of the modeling process: data,
algorithms, and validation of results.
❑ Human involvement in designing and coding algorithms, where there is a lack of diversity
among coders
❑ Biases embedded in training datasets
❑ Use of variables that proxy for membership in a protected class
❑ Statistical discrimination profiling shopping behavior, such as price optimization
❑ Technology-facilitated advertising algorithms used in ad targeting and ad delivery

Author(s): David Sandberg, Data Science and Analytics Committee, AAA

Publication Date: August 2022

Publication Site: American Academy of Actuaries

Social Security Reform: Taxation Options

Mary Pat Campbell

Link: https://www.actuary.org/sites/default/files/2022-08/SocSecReformTaxation0822.pdf

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Social Security was originally
funded by a tax on the wages of
covered workers plus interest on
accumulated taxes not yet paid
out as benefits. Later, a tax on the
benefits of some beneficiaries
was added.
• Both the tax rate and the limit
on wages subject to taxation
have been raised periodically to
fund increases in the scope and
amount of benefits.
• According to the 2021 Social
Security Trustees Report,
accumulated assets will be
depleted by 2034 and income
to the system thereafter will be
insufficient to pay all scheduled
benefits when due.
• Some or all of this shortfall can
be averted by raising the tax rate
on wages, increasing the limit
on wages subject to taxation,
broadening coverage to include
all state and local government
employees, increasing taxes on
benefits, and/or creating new
taxes dedicated to funding Social
Security benefits.
• This issue brief explores a
wide variety of proposals for
increasing system revenue
that have been made over the
years by members of Congress,
government-appointed panels
and commissions, and outside
experts.

Author(s): American Academy of Actuaries Social Security Committee

Publication Date: August 2022

Publication Site: American Academy of Actuaries

Social Security Reform: Benefit Formula Options

Mary Pat Campbell

Link: https://www.actuary.org/sites/default/files/2022-08/SocSecReformBenefits0822.pdf

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From its inception, the formulas
for determining benefits payable
under the Social Security System
have included elements of
individual equity and social
adequacy, so that benefits vary
in proportion to differences
in worker contributions, yet
benefits are sufficient to meet
the deemed financial needs
of most workers and covered
dependents.
• According to the 2021 Social
Security Trustees Report,
accumulated assets will be
depleted by 2034 and income
to the system thereafter will be
insufficient to pay all scheduled
benefits when due.
• Some or all of this shortfall
can be averted by changing
the primary formula for retired
worker benefits, changing the
formulas for determining the
benefits of eligible spouses and
other dependents of workers,
and/or changing the formula for
computing annual cost-of-living
increases.
• This issue brief explores a
wide variety of proposals for
changing the formulas for
determining benefits that
have been made over the
years by members of Congress,
government-appointed panels
and commissions, and outside
experts, with an eye toward how
the proposed changes would
affect the balance between
individual equity and social
adequacy.

Author(s): American Academy of Actuaries Social Security Committee

Publication Date: August 2022

Publication Site: American Academy of Actuaries

Professionalism Webinar Examines Unfair
Discrimination in Insurance

Mary Pat Campbell

Link: https://www.actuary.org/sites/default/files/2022-05/Actuarial-Update-May-2022.pdf

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THE ACADEMY hosted a May 26 webinar, “What Is Unfair Discrimination in Insurance?” in which presenters explored the current regulatory infrastructure relating to unfair and unlawful discrimination in insurance and the challenges presented by the increased use of big data and artificial Intelligence (AI)-enabled systems.


Presenters were Daniel Schwarcz, an award-winning professor and scholar; former Illinois Director of Insurance Nat Shapo; and Brian Mullen, chairperson of the task force currently revising ASOP No. 12, Risk Classification ( for All Practice Areas). General Counsel and Director of Professionalism Brian Jackson moderated.

Mullen opened by providing background on ASOP No. 12. Schwarcz discussed prohibitions on “unfair discrimination”—which occurs when an insurer considers factors unrelated to actuarial risk—in rates and underwriting. He noted that machine learning AI tends to produce the same results as intentional proxy discrimination. As a result, insurance becomes less available and less affordable to individuals because of their race, sex, genetics, health, or income. He also discussed a proposed definition of proxy discrimination, practical tests for proxy discrimination, and the benefits of such a definition.

Publication Date: May 2022

Publication Site: American Academy of Actuaries

9 Ways to Strengthen Social Security

Mary Pat Campbell

Link: https://www.aarp.org/retirement/social-security/info-2022/benefits-current-status-future-stability.html

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How did we get here? ​​As long predicted, demographics explain a good deal: In a decade, the entirety of the boomer generation — some 70 million Americans born between 1946 and 1964 — will have hit retirement age. As a result, the number of people receiving Social Security benefits come 2034 will be more than double the beneficiaries in 1985. ​​

But what wasn’t known as accurately was how much longer those boomers would live. “From 1940 to 2019, life expectancies at age 65 have increased by about 6.5 years,” says Amy Kemp, chair of the Social Security Committee of the American Academy of Actuaries.

The impact: Many workers will be receiving benefits for a longer period of time. And those with higher incomes, which are generally those who receive higher benefit amounts, tend to live longer on average. ​

Author(s): John Waggoner

Publication Date: 1 March 2022

Publication Site: AARP

2021 Academy Legislative/Regulatory Review

Mary Pat Campbell

Link: https://www.actuary.org/sites/default/files/members/alerts/pdf/2022/2022-CP-1.pdf

Excerpt:

The American Academy of Actuaries presents this summary of select significant regulatory and
legislative developments in 2021 at the state, federal, and international levels of interest to the U.S.
actuarial profession as a service to its members.

Introduction

The Academy focused on key policy debates in 2021 regarding pensions and retirement, health, life,
and property and casualty insurance, and risk management and financial reporting.


Responding to the COVID-19 pandemic, addressing ever-changing cyber risk concerns, and analyzing
the implications and actuarial impacts of data science modeling continued to be a focus in 2021.


Practice councils monitored and responded to numerous legislative developments at the state, federal,
and international level. The Academy also increased its focus on the varied impacts of climate risk and
public policy initiatives related to racial equity and unfair discrimination in 2021.


The Academy continues to track the progress of legislative and regulatory developments on actuarially
relevant issues that have carried over into the 2022 calendar year.

Publication Date: 15 Feb 2022

Publication Site: American Academy of Actuaries

American Academy of Actuaries: Some Estimates of Pandemic-Related Life Expectancy Changes Can Be Misleading

Mary Pat Campbell

Link: https://www.prnewswire.com/news-releases/american-academy-of-actuaries-some-estimates-of-pandemic-related-life-expectancy-changes-can-be-misleading-301481737.html

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The American Academy of Actuaries has released a new public policy paper and issue brief cautioning that clarification may be needed regarding estimated life expectancy showing significant decreases in light of the COVID-19 pandemic.

“Reports of considerable decreases in life expectancy driven by COVID-19 may certainly garner attention, but they can potentially be misleading when based on a technical measure that assumes heightened pandemic mortality will persist indefinitely,” said Academy Senior Pension Fellow Linda K. Stone. “Service to the public is core to the American Academy of Actuaries’ mission, and we would be remiss not to share the actuarial profession’s expertise to help the public interpret such reports.”

The Academy’s new Essential Elements paper, Clarifying Misunderstanding of Life Expectancy and COVID-19, which is based on a December 2021 issue brief developed by the Academy’s Pension Committee, Interpreting Pandemic-Related Decreases in Life Expectancy, cites the potential of confusion arising from recent Centers for Disease Control and Prevention (CDC) estimates of significant life expectancy decreases primarily due to COVID-19. The CDC used a measurement known as “period life expectancy” to estimate life expectancy changes in 2020, publishing in July 2021 a preliminary estimate of a 1.5-year year-over-year decrease, and in December 2021 a final estimate of a 1.8-year decrease. However, the CDC’s methodology and the estimated decreases assume that the heightened mortality of the COVID-19 pandemic during the 2020 year will persist indefinitely—an unlikely scenario.

Author(s): American Academy of Actuaries

Publication Date: 14 Feb 2022

Publication Site: PRNEWSWIRE