Turnitin, a global leader in academic integrity, has released new findings from its survey on the state of AI in education. With perspectives from students, educators, and academic administrators across six countries, the survey underscores the growing demand for clear guidelines on the ethical use of AI in secondary and higher education. The findings highlight a mixed perception of AI’s role—while there is optimism about its potential benefits, concerns over misuse, over-reliance, and learning loss are prevalent. Annie Chechitelli, Turnitin’s Chief Product Officer, emphasized the need for balance: “The risk of intentional misuse will always exist with generative AI. Transparency throughout the student writing process enables educators to leverage AI's opportunities while upholding the integrity of original student work.”
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Priyanshu Sharma, the co-founder of Sheridan-based AI consulting firm ByteBrain, is gaining national recognition for blending technical expertise with ethical rigor in a field often dominated by unchecked automation. Sharma’s unique approach aims to create AI solutions that empower people rather than replace them, with a strong emphasis on transparency, fairness, and accountability. Under Sharma’s leadership, ByteBrain has been pioneering a new direction for artificial intelligence—one that aligns machine performance with human values. The company serves a wide range of clients, from U.S. government agencies to Fortune 500-adjacent firms, providing custom-built AI solutions that balance operational efficiency with responsibility.
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In a pivotal step toward responsible AI and video data privacy, Milestone Systems has acquired Berlin-based brighter AI, a leader in deep learning-powered anonymization solutions. This acquisition positions Milestone at the forefront of privacy-by-design video surveillance and analytics, while reinforcing Europe’s role as a global hub for ethical AI innovation. By integrating brighter AI’s cutting-edge anonymization technology into its suite of video management and analytics solutions, Milestone is redefining how compliant video data is used to train AI models securely and ethically. The acquisition also strengthens Project Hafnia, Milestone’s data library and AI model training initiative, by embedding anonymization as a foundational capability.
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Imagine an era where you can anticipate crime before it happens. Law enforcement can receive alerts on their devices about potential incidents based on past patterns of offenses. Surveillance cameras with AI scan public spaces, identifying individuals deemed “high risk” based on historical data. This scenario can soon become a reality because predictive policing relies...
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We live in a world where machines can compose music, predict diseases, and have conversations. But one question still lingers: Are we doing it right? AI has been promising, but it has also brought challenges. From ensuring fairness in decision-making to protecting personal privacy, AI ethics is the moral compass guiding this technological revolution. Ethics...
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Ahead of RSA Conference 2024, Venafi, the inventor of machine identity management, today launched its new 90-Day TLS Readiness Solution to help organizations comply with Google’s proposed 90-day TLS certificate standard, improving security posture while reducing the risk of certificate-related interruptions.
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Artificial Intelligence (AI) is rapidly expanding in almost every sector of the economy, including public safety, healthcare, retail, financial services, and transportation. AI governance has, therefore, assumed a significant role and is receiving more attention.
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The three branches of the EU have reached an agreement and passed the AI Act, setting the stage to regulate specific applications of the technology and mandate transparency from businesses. However, despite concerns expressed by certain global leaders, the specific modifications that will be mandated for AI companies remain uncertain.
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In the fascinating world of artificial intelligence, where machines navigate the fine line between brilliance and unpredictability, a pivotal question arises: When AI makes a mistake, can we move beyond the usual blame game and rethink responsibility? This shift isn’t just about finding answers; it’s a fresh perspective aimed at cultivating ethical brilliance in AI.
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