Executive Development Programme in AI for Social Policy Making

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The Executive Development Programme in AI for Social Policy Making certificate course is a remarkable opportunity for professionals seeking to leverage AI in public policy. This programme highlights the growing importance of AI in evidence-based decision-making and addressing complex social challenges.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In an era driven by data and technology, there is a rising demand for professionals who can effectively apply AI in social policy. This course equips learners with the essential skills to meet this demand, providing a comprehensive understanding of AI tools, techniques, and ethical considerations in policy-making. By the end of this programme, learners will be able to design and implement AI-driven social policies, making a meaningful impact in the public sector. Successful completion of this course will not only enhance career growth but also contribute to building a more data-driven, equitable society.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Artificial Intelligence: Understanding the basics of AI, its capabilities, and limitations.
โ€ข Data Analytics for Public Policy: Leveraging data to inform policy decisions, including data collection, management, and analysis.
โ€ข AI in Public Service Delivery: Exploring the use of AI to improve the delivery of public services, such as healthcare, education, and transportation.
โ€ข Ethics in AI for Social Policy: Examining the ethical implications of using AI in social policy, including issues of bias, privacy, and transparency.
โ€ข AI Governance and Regulation: Understanding the legal and regulatory landscape for AI in social policy, including current and proposed regulations.
โ€ข AI in Public-Private Partnerships: Collaborating with private sector partners to develop and implement AI solutions for social policy.
โ€ข AI for Social Good: Utilizing AI to address social issues, such as poverty, inequality, and environmental sustainability.
โ€ข AI in Community Engagement: Engaging with communities to ensure that AI solutions are designed with their needs and perspectives in mind.
โ€ข AI for Policy Evaluation: Using AI to evaluate the impact of social policies and inform future decision-making.

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

In the ever-evolving landscape of social policy making, artificial intelligence (AI) has emerged as a game-changer. As a professional, you'll find the UK's job market teeming with opportunities, ranging from AI Architect to AI Ethicist. 1. AI Architect: These professionals design AI systems and oversee their development, ensuring they align with the organisation's goals and objectives. The median salary for AI Architects in the UK is around ยฃ72,000 per annum. 2. Data Scientist: As a data scientist, you'll collect, analyse and interpret complex digital data, often using machine learning algorithms. The average salary for a Data Scientist in the UK is about ยฃ50,000 per annum. 3. AI Engineer: AI Engineers develop AI models and integrate them into existing systems. They need a solid understanding of machine learning algorithms and programming languages like Python or R. The median salary for AI Engineers in the UK is around ยฃ60,000 per annum. 4. AI Product Manager: AI Product Managers lead cross-functional teams in the design, development, and launch of AI products. The average salary for AI Product Managers in the UK is approximately ยฃ75,000 per annum. 5. AI Ethicist: Ensuring AI systems are developed ethically and responsibly falls under the purview of AI Ethicists. They work closely with AI developers to guarantee that the technology adheres to ethical guidelines and regulations. The average salary for AI Ethicists in the UK is around ยฃ55,000 per annum. With the growing importance of AI in social policy making, these roles are increasingly in demand. Joining an Executive Development Programme in AI for Social Policy Making could open doors to a fruitful and rewarding career in this dynamic field.

ๅ…ฅๅญฆ่ฆไปถ

  • ไธป้กŒใฎๅŸบๆœฌ็š„ใช็†่งฃ
  • ่‹ฑ่ชžใฎ็ฟ’็†Ÿๅบฆ
  • ใ‚ณใƒณใƒ”ใƒฅใƒผใ‚ฟใƒผใจใ‚คใƒณใ‚ฟใƒผใƒใƒƒใƒˆใ‚ขใ‚ฏใ‚ปใ‚น
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  • ใ‚ณใƒผใ‚นๅฎŒไบ†ใธใฎ็Œฎ่บซ

ไบ‹ๅ‰ใฎๆญฃๅผใช่ณ‡ๆ ผใฏไธ่ฆใ€‚ใ‚ขใ‚ฏใ‚ปใ‚ทใƒ“ใƒชใƒ†ใ‚ฃใฎใŸใ‚ใซ่จญ่จˆใ•ใ‚ŒใŸใ‚ณใƒผใ‚นใ€‚

ใ‚ณใƒผใ‚น็Šถๆณ

ใ“ใฎใ‚ณใƒผใ‚นใฏใ€ใ‚ญใƒฃใƒชใ‚ข้–‹็™บใฎใŸใ‚ใฎๅฎŸ็”จ็š„ใช็Ÿฅ่ญ˜ใจใ‚นใ‚ญใƒซใ‚’ๆไพ›ใ—ใพใ™ใ€‚ใใ‚Œใฏ๏ผš

  • ่ชๅฏใ•ใ‚ŒใŸๆฉŸ้–ขใซใ‚ˆใฃใฆ่ชๅฎšใ•ใ‚Œใฆใ„ใชใ„
  • ่ชๅฏใ•ใ‚ŒใŸๆฉŸ้–ขใซใ‚ˆใฃใฆ่ฆๅˆถใ•ใ‚Œใฆใ„ใชใ„
  • ๆญฃๅผใช่ณ‡ๆ ผใฎ่ฃœๅฎŒ

ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

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ใ“ใฎใ‚ณใƒผใ‚นใ‚’ไป–ใฎใ‚ณใƒผใ‚นใจๅŒบๅˆฅใ™ใ‚‹ใ‚‚ใฎใฏไฝ•ใงใ™ใ‹๏ผŸ

ใ‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN AI FOR SOCIAL POLICY MAKING
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of Business and Administration (LSBA)
ๆŽˆไธŽๆ—ฅ
05 May 2025
ใƒ–ใƒญใƒƒใ‚ฏใƒใ‚งใƒผใƒณID๏ผš s-1-a-2-m-3-p-4-l-5-e
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