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January 15, 2025 3:16 AM
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Report Makes Business Case for Responsible AI

Report Makes Business Case for Responsible AI | Going social | Scoop.it
From campustechnology.com - January 7, 2025 9:52 AM
A new report commissioned by Microsoft and published last month by research firm IDC notes that 91% of organizations use AI tech and expect more than a 24% improvement in customer experience, business resilience, sustainability, and operational efficiency due to AI in 2024.

Via EDTECH@UTRGV, Marco Bertolini
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EDTECH@UTRGV's curator insight, January 14, 2025 9:54 AM

According to the report, "organizations that use responsible AI solutions reported benefits such as improved data privacy, enhanced customer experience, confident business decisions, and strengthened brand reputation and trust"
Marco Bertolini's curator insight, January 15, 2025 3:15 AM

A safe AI, also good for business.
Michael Flores's comment, February 2, 2025 5:53 PM
The IDC report commissioned by Microsoft underscores the growing recognition of Responsible AI (RAI) as a critical factor in organizational success, particularly in improving customer experience, business resilience, and trust. From the perspective of a graduate student in an educational technology course focused on AI, this report highlights the pressing need for structured AI governance frameworks and workforce training. The data-driven emphasis on governance and compliance resonates with the challenge of integrating AI into educational settings, where ethical concerns and data privacy remain at the forefront. The report’s findings reinforce the importance of designing AI-driven educational tools that align with fairness, accountability, and transparency. Furthermore, the fact that over 30% of organizations cite governance and risk management as major barriers to AI adoption suggests a gap in AI literacy that educational programs must address. As AI continues to transform industries, the development of responsible AI curricula in educational technology programs will be essential in equipping future professionals with the skills to navigate the ethical and operational complexities of AI-driven decision-making.
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