Artificial intelligence is not just a tool; it’s a meta-tool reshaping the future. As we witness this monumental shift, the fear of displacement must be met with informed understanding.
New Hampshire’s 2024 legislation addresses artificial intelligence usage, establishing laws against fraudulent deepfakes, requiring disclosures for deceptive AI in political ads, and mandating transparency for state agencies’ AI use. These measures enhance protections against AI deception, emphasizing accountability and human oversight, while setting a precedent for future regulations.
The U.S. is creating a complex regulatory framework for AI, marked by Executive Order 14110, agency enforcement, and state-level innovations. This evolving system combines voluntary standards and existing laws to manage risks, ensure accountability, and protect civil rights. The focus will shift from sweeping legislation to a standards-led, enforcement-driven approach.
By Granite State Report Introduction We previously explored how the generation after Generation Z may face a very different relationship to “jobs” and “careers” due to automation, artificial intelligence (AI), robotics and shifting work-norms. In this special report we turn our focus to New Hampshire: how might this transformation play…
By Granite State Report The rise of artificial intelligence (AI) is no longer a distant sci-fi scenario: it’s here, and even in our beloved Granite State, the shifts are real, rapid, and rife with opportunity and complexity. In this deep dive, I chart where New Hampshire stands today in the AI…
AI is transforming journalism by automating routine tasks, which could lead to a uniform style that lacks the ethical judgment and local insights only human reporters provide. While AI can enhance efficiency, its role should complement, not replace, traditional reporting. Journalists must adapt by becoming more tech-savvy and focused on truth-telling.
The development of ethical AI is the responsibility of human programmers, encompassing a lifecycle approach from problem framing to monitoring incidents. Ethical considerations must guide data sourcing, modeling, and evaluations. Compliance with regulatory frameworks like the EU AI Act and NIST guidelines is essential to managing risks and ensuring public trust in AI products.
