Script-free related records · Release 2026-07-28.3
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- Activity date
- 2023-12-01
- Activity key
- public communication:87
- Activity role
- tagged member
- Activity type
- public communication
- Bill id
- Not recorded
- Canonical name
- Penelope Tsernoglou
- Chamber sitting id
- Not recorded
- Committee meeting id
- Not recorded
- Confidence
- 1.0
- Evidence text
- Michigan Democrats Make Elections More Accessible, Secure: State Rep. Penelope Tsernoglou (D-East Lansing) delivers a speech at the signing for the election bills package on Thursday, Nov. 30, 2023, at the NAACP Headquarters in Detroit. LANSING, Mich., Nov. 30, 2023 — Gov. Gretchen Whitmer solidified Michigan’s commitment to ensuring accessible and secure elections with the signing of several key election and voter rights related bills today. The legislation focuses on enhancing Michigan’s democracy, such as increasing access to voting and safeguarding the integrity of [...]
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- Source kind
- member publication attribution
Related record
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Inspect published fields
- Activity date
- 2023-12-01
- Activity key
- public communication:88
- Activity role
- tagged member
- Activity type
- public communication
- Bill id
- Not recorded
- Canonical name
- Penelope Tsernoglou
- Chamber sitting id
- Not recorded
- Committee meeting id
- Not recorded
- Confidence
- 1.0
- Evidence text
- Visionary AI Bills Signed into Law, Protecting Voters from Misinformation, Upholding Election Integrity: LANSING, Mich., Dec. 1, 2023 — Gov. Gretchen Whitmer has underscored Michigan lawmakers’ commitment to protecting the integrity of the democratic process by signing 23 elections-related bills yesterday. Among the pro-democracy bills signed was a bipartisan four-bill package that requires a disclaimer on political advertisements that use materials generated by artificial intelligence (AI). These new laws also set penalties for the use of these AI “deepfakes” to deceive or influence voters. “There’s a lot of mistrust in government these days, [...]
- Roll call id
- Not recorded
- Source kind
- member publication attribution