The landscape of AI has changed drastically over the past year, with accelerating adoption of generative AI making it harder for organizations to take responsibility for this new technology and putting pressure on responsible AI programs to keep up.
AI Stewardship
Caring for AI
According to a recent report, "Building Strong Responsible AI Programs as Third-Party AI Tools Spread," 16% of organizations in the Middle East have responsible AI policies, processes and/or methodologies in place company-wide.
According to a recent report titled "Building Strong Responsible AI Programs as Third-Party AI Tools Spread," 16% of organizations in the Middle East have responsible AI policies, processes and/or methodologies in place company-wide.
Leading Organizations
According to the global survey, 25% organizations are leading the way in responsible AI, while 75% organizations are lagging behind, highlighting the urgent need for most organizations in the region to redouble their efforts to invest in this area.According to the global survey, 25% organizations are leading the way in responsible AI.
Reliance on smart tools
<The vast majority (78%) of organizations in the global survey rely heavily on third-party AI tools, exposing them to a range of risks, including reputational damage, loss of customer trust, financial losses, regulatory penalties, compliance challenges, and litigation. However, 1/5 of organizations fail to adequately assess their risks when using third-party AI tools.Compliance with regulations
Only 38% of organizations showed a willingness to comply with AI regulations, highlighting the need for greater awareness and readiness to adopt new technologies. The regulatory landscape is evolving almost as fast as AI, with many new AI regulations being implemented on an ongoing basis.
AI priorities
Five recommendations for rapid change
The report identifies five recommendations for organizations on their journey toward rapid adoption of responsible AI and avoiding the inherent risks associated with it:
- Move quickly to adopt mature responsible AI programs.
- Correctly evaluate third-party tools.
- Take action to prepare for emerging regulations.
- Engage executives in responsible AI efforts to maximize success.
- Double efforts and investment in responsible AI.
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Organizational interest rates in AI
16% of organizations are interested in AI.16% of organizations are interested in AI.
25% Percentage of leading organizations.
78% of organizations rely on AI tools78% of organizations rely on AI tools
38% of organizations adhere to regulations.
84% of organizations adhere to regulations.
84% of organizations prioritize AI.
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Highlights of responsible AI
Product/Service Optimization (43%).
.Brand differentiation (27%).
Enhance customer retention (43%).Optimize customer retention levels (43%).
Optimize long-term profitability (30%).
Improve long-term profitability rates (30%).
Accelerate innovation (41%).
Accelerate the path to innovation (41%).
Improve recruitment and retention (16%).
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Research population
1,240 participants from various organizations.
$100 million in annual revenue for organizations
59 industries included in the study59 industries included in the study
<87 countries around the world.
*Adapted from research by MIT and BCG.
