{"database": "press", "table": "releases", "rows": [["https://hageman.house.gov/media/press-releases/rep-hageman-introduces-bipartisan-bill-sens-wicker-welch-examine-use-ai-speech", "Rep. Hageman Introduces Bipartisan Bill with Sens. Wicker, Welch to Examine Use of AI Speech-to-Text Technologies in Federal Courts", "2026-03-19", "2026", "2026-03", "Republican", "House", "WY", "Harriet M. Hageman", "H001096", "hageman.house.gov", "hageman", "https://hageman.house.gov/media/press-releases", "scraper", "Washington, D.C. \u2013 Today, U.S. Representative Harriet Hageman introduced the Research and Oversight of Artificial Intelligence (AI) in Courts Act of 2026 with U.S. Senator Roger Wicker, R-Miss., U.S. Senator Peter Welch, D-Vt. This bipartisan legislation establishes a task force of judicial experts to examine the integration of AI speech-to-text and automatic speech (ASR) technologies in American courts.\n\n\u201cArtificial intelligence is being integrated into every aspect of our society in the 21st century, including our court systems,\u201d said Representative Hageman. \u201cAs an attorney for over three decades, I know our justice system demands precision and security. Congress must protect the integrity of our courts with vigorous oversight that remains up to date with emerging technologies.\u201d\n\n\u201cArtificial intelligence capabilities continue to expand and become part of daily life. Federal courts have begun using this technology to improve their processes. This legislation would examine the legal, technical, and constitutional implications of AI in the U.S. judicial system. Ensuring accuracy is critical to fair justice,\u201d said Senator Wicker.\n\n\u201cAs the Senate\u2019s only former public defender, I know it firsthand: Court reporters and captioners are irreplaceable. When it comes to the use of AI in the courtroom, there are still substantial privacy and civil liberty concerns that need to be addressed. Accuracy, privacy, and security are paramount,\u201d said Senator Welch. \u201cIt is critical we allow experts who are actively working in the courts to weigh in on use of emerging AI speech-to-text services and technologies.\u201d\n\nA new task force set up by the Research and Oversight of Artificial Intelligence (AI) in Courts Act will assess civil liberty implications, privacy issues, and concerns over the accuracy of AI technology in federal courts. The 15-member team will include judges, prosecutors, clerks, or other employees of the federal government who either work for the National Institute of Justice or the Administrative Office of the United States Courts.\n\nThe Research and Oversight of AI in Courts Act would create a task force to review:\n\nThe costs and benefits of AI speech-to-text and automatic speech recognition technologies.\n\nAI\u2019s impact on court record accuracy and litigants\u2019 constitutional rights.\n\nRisks to cybersecurity systems, including vendor selection guidance and protections on privacy.\n\nThe task force will be required to submit its findings to the Attorney General and Congress. The report is due 18 months after the task force is established.\n\nThe Research and Oversight of AI in Courts Act is supported by the National Court Reporters Association (NCRA).\n\n\u201cCourt reporters undergo extensive training and certification to provide the precise, secure transcription services our justice system requires,\u201d said Dave Wenhold, Executive Director, NCRA. \u201cWhile technology continues to evolve, human expertise remains irreplaceable in capturing complex legal proceedings.\u201d", 1, "2026-06-27T21:44:12Z", "2026-06-27T22:18:47Z"]], "columns": ["url", "title", "date", "year", "month", "party", "chamber", "state", "member_name", "bioguide_id", "domain", "scraper", "source", "date_source", "text", "has_text", "collected_at", "updated_at"], "primary_keys": ["url"], "primary_key_values": ["https://hageman.house.gov/media/press-releases/rep-hageman-introduces-bipartisan-bill-sens-wicker-welch-examine-use-ai-speech"], "units": {}, "query_ms": 1.1151893995702267, "source": "dwillis/congress-press", "source_url": "https://github.com/dwillis/congress-press", "license": "MIT", "license_url": "https://github.com/dwillis/congress-press/blob/main/LICENSE"}