Company: GOOGL
Filing Date: 2025-04-30
Form Type: PX14A6G
Source: 0001214659-25-006690
Chunk: 4

Company: Alphabet Inc.
Filing Date: 2025-04-30
Form: PX14A6G
Chunk 4
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 Form 10-K, Alphabet itself has stated that,
“some uses of AI will present ethical issues and may have broad effects on society[…] Unintended consequences, uses, or customization
of our AI tools and systems may negatively affect human rights, privacy, employment, or other social concerns, which may result in claims,
lawsuits, brand or reputational harm, and increased regulatory scrutiny, any of which could harm our business, financial condition, and
operating results.” While in response to this, Alphabet stated that “in order to implement AI responsibly and
minimize unintended harmful effects, we have already devoted and will continue to invest significant resources to develop, test, and maintain
our products and services,” shareholders do not have sufficient clarity on how Alphabet is conducting due diligence
to identify, address, and mitigate the aforementioned consequences of its AI tools and systems that may negatively affect human rights.

_____________________________

2023: The Proponents include The United Church of Canada Pension Plan
represented by SHARE and CommonSpirit Health.

2024: The Proponents include The United Church of Canada Pension Plan
represented by SHARE, CommonSpirit Health, and Mercy Investments.

Alphabet Inc., email message to SHARE, December 12, 2024.

2025: The Proponents include The United Church of Canada Pension Plan
represented by SHARE, AkademikerPension, AP Pension, Benedictine Sisters of Mount St Scholastica, CommonSpirit Health, KLP, MN, Mercy
Investment Services, Missionary Oblates of Mary Immaculate, US Province, Benedictine Sisters of Cullman, Alabama, Sisters of Charity of
Leavenworth.

“Algorithmic Discrimination: A Framework and Approach to Auditing & Measuring the Impact of Race-Targeted Digital Advertising,” PolicyLink, May 2023,https://www.policylink.org/resources-tools/algorithmic_discrimination.

“Gender Bias in Search Algorithms Has Effect on Users, New Study Finds,” New York University, July 12, 2022,https://www.nyu.edu/about/news-publications/news/2022/july/gender-bias-in-search-algorithms-has-effect-on-users--new-study-.html.

Matthew Bui, Ho-Chun Herbert Chang, Charlton Mcllwain, “Targeted Ads - The Infrastructure for Algorithmic Discrimination,” The Center for Critical Race and Digital Studies, November 2022,

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