Sen. Ted Cruz, R-Texas, joins'America's Newsroom' along with 15-year-old AI deep fake victim Elliston Berry to discuss the importance of the'Take It Down' bill, warning the issue is'rising every day.' Evangelical leaders praised President Donald Trump for his leadership on artificial intelligence ("AI") in an open letter published last week, while cautioning him to ensure the technology is developed responsibly. Dubbing Trump the "AI President," the religious leaders wrote that they believe Trump is there by "Divine Providence" to guide the world on the future of AI. The signatories said they are "pro-science" and fully support the advancement of technology which benefits their own ministries around the world. "We are also pro-economic prosperity and economic leadership for America and our friends. We do not want to see the AI revolution slowing, but we want to see the AI revolution accelerating responsibly," the letter says.

FIRST ON FOX: A pro-tech advocacy group has released a new report warning of the growing threat posed by China's artificial intelligence technology and its open-source approach that could threaten the national and economic security of the United States. The report, published by American Edge Project, states that "China is rapidly advancing its own open-source ecosystem as an alternative to American technology and using it as a Trojan horse to implant its CCP values into global infrastructure." "Their progress is both significant and concerning: Chinese-developed open-source AI tools are already outperforming Western models on key benchmarks, while operating at dramatically lower costs, accelerating global adoption. Through its Belt and Road Initiative (BRI), which spans more than 155 countries on four continents, and its Digital Silk Road (DSR), China is exporting its technology worldwide, fostering increased global dependence, undermining democratic norms, and threatening U.S. leadership and global security." The report outlines how Chinese AI models censor historical events that could paint China in a bad light, deny or minimize human rights abuses, and filter criticism of Chinese political leaders.

The integration of Artificial Intelligence (AI) into corporate strategy has become a pivotal focus for organizations aiming to maintain a competitive advantage in the digital age. As AI reshapes business operations and drives innovation, the need for specialized leadership to effectively manage these changes becomes increasingly apparent. In this paper, I explore the role of the Chief AI Officer (CAIO) within the C-suite, emphasizing the necessity of this position for successful AI strategy, integration, and governance. I analyze future scenarios based on current trends in three key areas: the AI Economy, AI Organization, and Competition in the Age of AI. These explorations lay the foundation for identifying the antecedents (environmental, structural, and strategic factors) that justify the inclusion of a CAIO in top management teams. This sets the stage for a comprehensive examination of the CAIO's role and the broader implications of AI leadership. This paper advances the discussion on AI leadership by providing a rationale for the strategic integration of AI at the executive level and examining the role of the Chief AI Officer within organizations.

Peak's inaugural Decision Intelligence (DI) Maturity Index found that while the U.S. was an early leader in artificial intelligence (AI), India is now the more mature market when it comes to readying their business to adopt AI. While the U.S. was an early leader in AI, with 28% of U.S. businesses adopting the technology over six years ago – compared to 25% in India and 20% in the U.K. – India is the more mature market when it comes to leveraging AI, scoring 64 (out of 100) on Peak's DI maturity scale, while the U.S. charted 52 and the U.K. just 44. What's setting Indian businesses apart is internal communication and education about AI to ensure broad support – 18% of U.S. workers weren't sure if their business used AI, compared to only 2% of Indian workers. Further, 78% of junior staff in India expect AI to have a positive impact on worker well-being over the next five years, compared to 47% of those in the U.S. The report also found that the way businesses structure data teams is crucial to successful AI adoption, with the majority of Indian businesses having data practitioners embedded in commercial teams to support analysis – by contrast most U.S. businesses have a central data team. Moreover, while California is historically seen as the mecca of tech innovation, New York is ahead in AI leadership as it scored an average of 61 out of 100, compared to California, which charted at 58. This is because New York is the top financial services center in the U.S. – an industry that is the second most-mature industry behind IT, computing and technology with a mean maturity score of 56 across all three markets (U.S., U.K. and India).

The awards will recognize the most influential women technology leaders in India who have demonstrated considerable experience in data science and AI leadership, advance AI development in organizations and became leaders and role models in the analytics industry. Leading organizations and individuals can submit nominations for the highest achievers in tech leadership and nominate people who have made powerful contributions and demonstrated expertise in AI and driving business value. All submissions will be assessed by our panel of editors and industry veterans and awardees will be selected after a careful review and benchmarked against the best-in-class performance standards. One of the key highlights of the conference will be sparking a conversation on the gender imbalance that exists in the industry and discussing vital steps that can be taken to increase women participation in data science and AI and help them thrive in leadership roles. Driving the conversation forward will be companies that have played a pivotal role in striving for diverse, inclusive and engaging environment for their employees, have addressed these biases to retain female talent and supported them to advance to senior roles.

This week the American National Security Commission on artificial intelligence released its final report. Cursory inspection of its 756 pages suggests that it's just another standard product of the military-industrial complex that so worried President Eisenhower at the end of his term of office. On closer examination, however, it turns out to be a set of case notes on a tragic case of what we psychologists call "hegemonic anxiety" – the fear of losing global dominance. The report is the work of 15 bigwigs, led by Dr Eric Schmidt, the former CEO of Alphabet (and before that the adult supervisor imposed by venture capitalists on the young co-founders of Google). Of the 15 members of the commission only four are female.

Decades ago, Japan faced an unavoidable, long-term economic challenge. Even as its economy reached record highs in the late 1980s (fueled by strong auto sales, the rise of innovative companies like Nintendo, and real estate speculation), it was preparing for the coming day when more than a quarter of its population would be over age 65. Today, Japan's median age is more than 10 years older (47) than that of the US (36). To offset the economic realities of a rapidly aging workforce, Japan made the decision to become a world leader in robotics. Advanced robotics in manufacturing, healthcare, consumer electronics, and soon personal services are now deeply entrenched in the Japanese economy, a movement created out of a need to maintain productivity and GDP growth.

Companies using data science are rapidly eating the market shares of their competitors. This shift can be observed across many industries. The root cause is that advanced analytics offers pronounced decision-making leverage. This effect is stronger in a digitized economy where a correct decision can quickly propagate through networks of businesses and consumers. Resources are rapidly allocated to the best companies.

Companies using data science are rapidly eating the market shares of their competitors. This shift can be observed across many industries. The root cause is that advanced analytics offers pronounced decision-making leverage. This effect is stronger in a digitized economy where a correct decision can quickly propagate through networks of businesses and consumers. Resources are rapidly allocated to the best companies.

Much of the discussion of nation-state competition in artificial intelligence (AI) focuses on relatively easily quantifiable phenomena including funding, technological advances, access to data and computational power, and the speed of AI industrialization. However, a central element of AI leadership is something much less tangible: control over the norms and values that shape the development and use of AI around the world. The U.S. government has overlooked this dimension of AI development for years, but the last couple months indicate the beginnings of a change of course. If the U.S. hopes to maintain global AI leadership, the government must continue to stake out a comprehensive positive vision, or we may find that the future of AI is a world few of us want to live in. Until recent months, the U.S. government had remained relatively quiet on the topics of AI values and ethics.