House Oversight Committee Advances Bills Affecting Cyber and AI for Federal Workforce

Last week, the House Oversight and Accountability Committee made significant progress by advancing several bills that have bipartisan support and are poised to have a lasting impact on the federal workforce. Notably, one bill introduced by Rep. Nancy Mace (R-S.C.) seeks to transform the hiring landscape for cybersecurity positions within the government. Known as the “Modernizing the Acquisition of Cybersecurity Experts Act,” this legislation aims to remove mandatory college degree requirements for federal cybersecurity jobs, except when specific legal prerequisites apply. The objective is to create opportunities for talented individuals with relevant skills and experience, irrespective of their educational background.

The current federal IT workforce, including cybersecurity professionals, skews older compared to the overall federal workforce. To address the cybersecurity skills gap, this bill received bipartisan support and aligns with an executive order emphasizing skills rather than degrees in federal hiring.

Another bill, the “AI Training Expansion Act,” sponsored by Rep. Nancy Mace, focuses on providing increased training in artificial intelligence (AI) for federal employees. This legislation aims to broaden access to AI training programs, covering topics such as AI capabilities, risks, best practices, and system management. Co-sponsored by Rep. Gerry Connolly (D-Va.), the bill recognizes the importance of developing an AI-savvy federal workforce and aims to equip the next generation of federal employees with the knowledge necessary for effective interaction with the private sector.

In addition, the committee moved forward with the “Guidance out of Darkness (GOOD) Act,” introduced by Committee Chairman James Comer (R-Ky.). This bill addresses the issue of “regulatory dark matter” by requiring federal agencies to publish all their guidance documents in a centralized and easily accessible online location. By enhancing transparency and facilitating public access to agency guidance documents, this legislation seeks to improve accountability. If enacted, the Office of Management and Budget would be given a three-month deadline to establish a hub where all agencies can post their guidance documents.

These bills underscore the bipartisan collaboration within the House Oversight and Accountability Committee to tackle critical issues affecting the federal workforce, including cybersecurity hiring and AI training. The broad support for these bills reflects an acknowledgment of the need to modernize federal IT and enhance the skills of the federal workforce in these rapidly evolving fields.

Overall, the actions taken by the House Oversight Committee exemplify a commitment to advancing legislation that will significantly impact the federal workforce. By addressing concerns related to cybersecurity hiring and AI training, these bills seek to strengthen the government’s cybersecurity capabilities and equip federal employees with the necessary skills for the future.

Posted in

Aihub Team

Leave a Comment





News firms seek transparency, collective negotiation over content use by AI makers - letter

News firms seek transparency, collective negotiation over content use by AI makers – letter

White House launches AI-based contest to secure government systems from hacks

White House launches AI-based contest to secure government systems from hacks

Britain appoints tech expert and diplomat to spearhead AI summit

Britain appoints tech expert and diplomat to spearhead AI summit

AI Drafted in War on Online Crimes Against Kids

AI Drafted in War on Online Crimes Against Kids

AI for Disaster Recovery: AI-powered systems for post-disaster recovery and reconstruction.

AI for Disaster Recovery: AI-powered systems for post-disaster recovery and reconstruction.

AI in Drug Repurposing: AI-driven drug discovery for repurposing existing medications.

AI in Drug Repurposing: AI-driven drug discovery for repurposing existing medications.

AI in Augmented Reality: Enhancing AR experiences with AI-generated content and interactions.

AI in Augmented Reality: Enhancing AR experiences with AI-generated content and interactions.

AI in Oil and Gas Exploration: AI applications in seismic data analysis for oil exploration.

AI in Oil and Gas Exploration: AI applications in seismic data analysis for oil exploration.

AI in Podcasting: AI-driven podcast transcription and content recommendation.

AI in Podcasting: AI-driven podcast transcription and content recommendation.

AI in Speech Recognition: Improving speech recognition and transcription with AI algorithms.

AI in Speech Recognition: Improving speech recognition and transcription with AI algorithms.

AI and Blockchain Integration: The potential of combining AI and blockchain technologies.

AI and Blockchain Integration: The potential of combining AI and blockchain technologies.

AI for Wildlife Tracking: AI-enabled tracking systems for studying animal migration and behavior.

AI for Wildlife Tracking: AI-enabled tracking systems for studying animal migration and behavior.

Combating Global Health Crises: The Power of AI in Epidemic Prediction and Prevention

Combating Global Health Crises: The Power of AI in Epidemic Prediction and Prevention

Global cloud market soars again, but AI could pose a risk

Global cloud market soars again, but AI could pose a risk

Interview Mrs.Anita Schjøll Brede

Interview Mrs.Anita Schjøll Brede

Interview with Mr.Jürgen Schmidhuber

Interview with Mr.Jürgen Schmidhuber

Interview with Mr.Fei-Fei Li

Interview with Dr.Fei-Fei Li

AI and Music Composition: The intersection of AI and creativity in composing music.

AI and Music Composition: The intersection of AI and creativity in composing music.

AI in Art Authentication: AI techniques for art forgery detection and provenance verification.

AI in Art Authentication: AI techniques for art forgery detection and provenance verification.

AI for Accessibility: How AI is making technology more accessible for individuals with disabilities.

AI for Accessibility: How AI is making technology more accessible for individuals with disabilities.

AI in Retail Personalization: Customizing shopping experiences with AI-driven recommendations.

AI in Retail Personalization: Customizing shopping experiences with AI-driven recommendations.

AI in Supply Chain Management: AI-driven optimization of supply chain logistics and inventory management.

AI in Supply Chain Management: AI-driven optimization of supply chain logistics and inventory management.

AI in Veterinary Medicine: AI applications for animal health diagnosis and treatment.

AI in Veterinary Medicine: AI applications for animal health diagnosis and treatment.

AI and Genome Sequencing: AI's contribution to accelerating genomic research and precision medicine.

AI and Genome Sequencing: AI’s contribution to accelerating genomic research and precision medicine.

AI and Drone Technology: AI's role in enhancing drone capabilities for various industries.

AI and Drone Technology: AI’s role in enhancing drone capabilities for various industries.

AI in Transportation: Innovations in autonomous vehicles and AI for traffic management.

AI in Transportation: Innovations in autonomous vehicles and AI for traffic management.

AI in Environmental Monitoring: AI applications for monitoring air and water quality.

AI in Environmental Monitoring: AI applications for monitoring air and water quality.

AI in Criminal Justice: AI's impact on crime prevention, offender profiling, and legal analytics.

AI in Criminal Justice: AI’s impact on crime prevention, offender profiling, and legal analytics.

AI for Elderly Care: Enhancing senior care with AI-powered health monitoring and companionship.

AI for Elderly Care: Enhancing senior care with AI-powered health monitoring and companionship.

AI and Disaster Prediction: Predicting natural disasters using AI-based models and algorithms.

AI and Disaster Prediction: Predicting natural disasters using AI-based models and algorithms.