AI regulation needs a global approach, according to Nikolaus Lang, managing director and senior partner at the Boston Consulting Group and global leader of the BCG Henderson Institute. He discusses the geopolitics of AI with Caroline Hyde and Ed Ludlow on “Bloomberg Tech.” -------- Like this video? Subscribe to Bloomberg Technology on YouTube: https://www.youtube.com/channel/UCrM7B7SL_g1edFOnmj-SDKg Watch the latest full episodes of "Bloomberg Technology" with Caroline Hyde and Ed Ludlow here: https://www.y ...

AI Regulation & Governance - The industry believes AI regulation should occur at the federal level due to interstate and international commerce, and the open internet [2][3] - The industry notes that a patchwork of state regulations on AI model development and deployment would hinder internet service providers and negatively impact consumers and the job market [4] - The industry points out that early state legislation on AI, such as in California, demonstrated a naive understanding of AI technology and its diverse applications [5] - The industry emphasizes that federal AI regulation is critical for job creation, economic improvement, GDP growth, and productivity [6] - The industry expresses disappointment that federal preemption of AI regulation was not included in a particular bill, considering it vital for the US economy [7] - The industry argues that AI is of national security importance and crucial for maintaining technological and economic supremacy, thus requiring federal governance [10][11] - The industry fears that 50 different sets of state regulations on AI would slow down startups and smaller companies, while benefiting a few large incumbents [13] Comparison with Other Issues - The industry differentiates AI regulation from issues like abortion, which are considered individual matters best left to state governance [9] - The industry draws parallels between the current AI regulatory landscape and the historical development of internet regulation, suggesting a need for federal standards [18][19] - The industry contrasts AI regulation with issues like gambling and cannabis, which are currently regulated at the state level, arguing that AI's impact is broader and requires a unified federal approach [14][15]

AI Regulation - States are actively regulating AI due to federal inaction [1] - States play a crucial role in AI regulation [1]

Politics & Policy - Senator Ran Paul was allegedly uninvited to a White House picnic due to his opposition to the budget bill, tariffs, and other Trump policies [1][2] - The uninvitation was described as "petty" and immature [2][3] Broadband & AI Regulation - A budget package includes a moratorium on AI regulation by states for 10 years, potentially impacting broadband funding [6] - States that regulate AI may not receive Broadband Equity, Access, and Deployment (BEAD) funding, which is crucial for closing the digital divide [6] - Broadband is considered essential for the economy, online learning, and emergency services like next-generation 911 [7][8] - The policy is seen as coercively pushing AI legislation by weaponizing infrastructure funding [9] - Concerns exist about the rapid advancement of AI and the potential impact of limiting regulation for several years, especially on children's online safety, consumer fraud, and surveillance [11][12][13] - There is a missed opportunity for Congress to establish regulations for AI [14]

Core Perspective - The article discusses the legal and ethical implications of AI companies, particularly Meta, using copyrighted materials for training their AI models, raising concerns among authors and publishers about intellectual property rights and fair compensation [2][3][5][24]. Group 1: Legal Challenges - Meta is facing a lawsuit in the United States for copyright infringement, with allegations that it used the LibGen dataset, which contains pirated materials, to train its AI models [4][10]. - The legal debate centers on whether mass data scraping for AI training qualifies as "fair use," a legal doctrine that allows limited use of copyrighted works under certain conditions [5][6][24]. - A significant case is The New York Times vs. OpenAI and Microsoft, where the newspaper claims its articles were used without permission for AI training [9][10]. Group 2: Industry Reactions - The Australian Society of Authors has called for regulations requiring AI companies to obtain permission and provide fair compensation to authors for using their works [13][14]. - Various licensing agreements are being established globally between academic publishers and AI companies to ensure creators are compensated while allowing data usage [21][22]. - The Authors Guild argues for a more favorable compensation model for authors, suggesting a 75% share of earnings should go to the author [15]. Group 3: Implications for Creators - The average median full-time income for authors in the U.S. was just over USD 20,000 in 2023, highlighting the financial vulnerability of creators in the face of AI advancements [12]. - The proliferation of AI-generated content poses a threat to original works, making it challenging to distinguish and protect intellectual property [16][17]. - As AI systems often do not cite sources, the value of attribution diminishes, further complicating the landscape for content creators [16]. Group 4: Regulatory Landscape - The European Union's Artificial Intelligence Act of 2024 aims to balance the interests of copyright holders with the need for innovation in AI, though its provisions are considered relatively weak [18]. - In contrast, the U.S. government has not enacted specific regulations for AI, with some officials arguing against excessive regulation [19][20]. - The Australian government has released a voluntary framework emphasizing transparency and fairness in AI systems, but no specific statutes have been enacted yet [23].

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