Read the new WhitePaper from IDC and Microsoft, where you will find instructions for building a credible AI and how businesses benefit from AI’s responsibility.
I am glad to introduce Microsoft Whitepper with IDC: Business Case of AIP. This WhitePaper, based on a worldwide responsible AI IDC survey by Microsoft, offers leadership leaders and technologies on how to systematically build credible AI. In today’s rapidly developing technological environment, AI appeared as a transformation force, transformed industry, and redefined the way of doing business. Generative use of AI jumped from 55% in 2023 to 75% in 2024; The potential of AI control innovation and increase operational efficiency is undeniable.1 However, there is a great responsibility with great power. The deployment of AI technologies also brings meaningful risks and challenges to be resolved to ensure responsible.
At Microsoft, we are focused on every person and to use and build AI, which is trustworthy, which means AI that is private, safe and secure. You can learn more about our obligations and abilities in our inconvenience about trusted AI about our commitments and abilities. Our approaches to safe AI, or responsible AI, are based on our basic values, risk management procedures and compliance with regulations, advanced instruments and technologies, and the determination of individuals who have committed themselves to deploying and using generative AI responsibly.
We believe that the responsible approach AI supports innovations by noticing that AI technology is developed and deployed in a way that is fair, transparent and responsible. The IDC Worldwide survey for the responsible AI found that 91% of organizations currently use AI and expects more than 24% improvement in customer experience, resistance to trade, sustainability and operational efficiency due to AI in 2024. In addition Renowned solutions, such as improving data privacy, increased customer experience, confident business decisions and strengthened brand reputation and trust. These solutions are created with tools and methodologies for identifying, evaluating and mitigating potential risks during their development and deployment.
AI is a critical activator of business transformation and offers unprecedented opportunities for innovation and growth. However, the responsible development and use of AI is necessary to alleviate risks and building confidence with customers and parties. AI SPAFOT is responsible for adopting, the organization can align AI deployment with their values and social expectations, resulting in a sustainable value for organization and its customers.
Key findings from IDC survey
IDC Worldwide Responsible Survey AI emphasizes the importance of running the responsible AI practices:
- More than 30% of respondents note that the lack of government solutions and risk management is the highest obstacle to receiving and scaling AI.
- More than 75% of respondents who use responsible AI solutions reported improvisation in the field of personal data protection, customer experience, business decisions, brand reputations and trust.
- Organizations intensively invest in AI and Gover Tools and Professional Services for AI, with 35% of AI, AI and Machine Learning Gover Tools and 32% for professional services.
In the liability of these findings, IDC suggests that it is responsible for the organization, builds on four basic elements: basic values and administration, management and compliance, technology and labor.
- Basic values and management: The responsible AI organization defines and expresses its mission and principles AI supported by the management of enterprises. The establishment of a clear structure of administration throughout the organization creates confidence and confidence in AI technology.
- Risk Management and Compliance with Regulations: Strengthening compliance with the principles and current laws and regulations is necessary. Organizations must develop politicians to alleviate the risk and run these policies through the risk management framework with regular reporting and monitoring.
- Technology: Using tools and techniques to support principles such as justice, explanability, robustness, responsibility and privacy is essential. These principles must be built into the system and platforms.
- Workforce: Powering the management to increase the responsible AI as a critical business imperative and the provision of training all employees on the principles is paramount. Training of wider workforce ensures responsible AI acceptance throughout the organization.
Consulting and Recommendations for Business and Technology Head
In order to ensure responsible use of AI technologies, organizations should consider a systematic approach to AI management. Based on the research, there are several recommendations for the business and technological leaders. It is worth noting that Microsoft has accepted these procedures and is determined to work with customers on their responsibility AI Journey:
- Determine the principles of AI: Pull up responsibly to the development of technologies and create specific areas of applications that will not be monitored. Avoid creating or strengthening unfair bias and building and testing security. Find out how Microsoft builds and rules AI responsibly.
- Implement AI management: Consider the AI management committee with different and inclusive representation. Define policy to manage internal and external use of AI, promote transparency and explanability and perform regular AA audits. Read the Microsoft Transparency message.
- Prefer privacy and security: Strengthen Privacy and Data Protection Measures in AI operations to protect us again without access to data and gain users’ confidence. More information about Microsoft’s work on AI implementation throughout the organization safely and responsibly.
- Invest in AI training: Allocate sources to regular training and workshops that we are responsible for practices for Entitire workforce, including executive management. Visit Microsoft Learn and Find Races on Generative AI for merchants, developers and machine learning experts.
- Stay a step from the global AI regulations: Continue the current date with global AI regulations such as the EU law and ensure compliance with the emerging requirements. Stay in accordance with the requirements in Microsoft Trust Center.
Since the organization continues to integrate AI into a business process, it is important to realize that AI responsible is a strategic advantage. By inserting responsible AI procedures into the core of their operations, the organization can control innovations, increase customer confidence and long -term sustainability support. An organization that prefers the responsible AI can be placed by the ber to navigate the complicity of the AI landscape and earn on the opportunities that represents the customer experience or bend the innovation curve.
At Microsoft, we have committed to supporting our customers in their responsibility AI Day. We offered tools, resources and proven procedures that help organizations responsible for real principles. In addition, we use our partnership ecosystem to provide customers with market and technical knowledge that allows the AI to be deployed on the Microsoft platform. With a joint work, we can create a future where AI is used responsibly in business and society as a whole.
As organizations pass AI adoption complexes, it is important to make AI integrated practice throughout the organization. This can use organizations full AI potential and at the same time use it in a way that is fair and similar to all.
Discover the solution
1Study Opportunities IDC 2024 AI: Top five trends AI look, Alysa Taylor. 14 November 2024.
Bílá book IDC: Sponsored by Microsoft, 2024 Business Case for AI liability, IDC #US52727124, December 2024. The study was entered and sponsored by Microsoft. This document is provided only for information and should not be interpreted as legal advice.