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2019/SOM1/EC/018 Agenda Item: 10d.ii
Singapore’s Artificial Intelligence Governance
Framework
Purpose: Information Submitted by: Singapore
First Economic Committee Meeting Santiago, Chile 4-5 March 2019
SINGAPORE’S AI
GOVERNANCE
FRAMEWORK
2
SINGAPORE’S APPROACH TO AI
• Singapore as the heterogenous hub of hyperscale computing (HPC) globally
• Hub for Data-driven activities to facilitate access to datasets within and beyond Singapore
• Trusted environment with progressive regulations that balance between protection and innovation
• Good international AI companies anchored in SG
• Hi-value homegrown AI
companies
• Globally-recognized R&D capabilities in
niche areas of strengths
• Regional hub for
competitive AI talent equipped with critical
skillsets to address AI
opportunities
VIBRANT AI ECOSYSTEM WITH GLOBALLY-RECOGNISED CAPABILITIES
MOST AI-ENABLED ECONOMY
Sectors with higher risks of disruption
All businesses
Frontier AIOutpace competitiveness
through innovative AI use
SUPPORTED BY
Key sectors with strategic
economic impact and global standing
Addressing Disruption due to AITransform sectors and jobs to
cognitive, higher-VA activities
Leveling up AI use across economyEnsure sectors are up-to-date in AI
adoption
3
SUPPORTING AI DEVELOPMENT AND ADOPTION THROUGH GOVERNANCE AND ETHICS
Funding research to identify and create solutions for legal,
regulatory and policy issues as AI adoption broadens
Bringing relevant stakeholders together to build a trusted ecosystem(such as Government, Industry, Consumers, and Academia)
Supporting AI adoption through model governance frameworks
that promote responsible AI and data use for voluntary adoption by corporates
1
2
3
ADVISORY COUNCIL ON ETHICAL USE OF AI AND DATA
Provide guidance on complex ethical issues arising from new business models and innovations in the AI space
Bring together AI technology providers, businesses that use AI and representatives of consumer interests
Host conversations with industry and consumers
Serves as an effective barometer of business needs and ground sentiments to shape the Government’s plan for a sustainable AI ecosystem
ADVISORY COUNCIL’S FOCUS AREAS
AI & Industry
Develop Model AI Governance Frameworks (cross-sector, sector-specific)
Promote model AI governance framework locally for adoption and internationally for thought leadership
Through key stakeholders: WEF, CIPL, Advisory Council members
AI & Society
Demystify & promote confidence in using AI
Audience-specific programmes and messaging:
- Students and youth
- Businesses/organisations
- Workers
Implement programmes through local & international partners
AI & Research
Develop industry-relevant AI governance research and promote international thought leadership on AI issues
Industry-relevant research through organisation sponsorship of problem statements. E.g.:
- Autonomous vehicles liability framework
- Fintech policy
- Cross-border data transfer issues
6
AI & SOCIETY: TARGETED PROGRAMMES TO INSPIRE CONFIDENCE
Promote Use: ICM Learning Roadmap for students
• Real-life case studies for each field
• Understand advisory guidelines on the ethical
use of AI and data
• Know the code of practice for AI devt
Deeper understanding of AI:
• Discerning what is inside AI
• How AI works – Algorithms
• Real-life applications and value
• What is AI
• What can it do
• Debunk myths of AI
• Limitations of AI
6
PHASE 1 FY 18/19
COMMUNITYORGANISATIONS
• Understand AI Governance
• Establish best practices to guide safe and ethical
management of AI systems
• Build consumer trust in AI deployments
• Prepare workforce (Training/Upskill/Re-skill)
Build
Trust &
Confidence
to USE
UNDERSTAND
AI and its benefits
KNOW
Awareness of AI
Basic knowledge and concepts of AI
De-Mystify AI
• Disruption of AI
• Business Transformation
driven by AI
Deeper understanding of AI:
• Relevant success use cases
• Importance of data
• Implications of AI at workplace
7
5-YEAR RESEARCH PROGRAMME TO DEVELOP THOUGHT LEADERSHIP
Centre for AI & Data Governance in Singapore Management University’s School of LAW
Build up body of knowledge of the legal, policy and governance issues concerning AI and data us
Develop a pool of experts knowledgeable in these issues
Complement scientific AI research and professional training to build a robust AI ecosystem
8
POTENTIAL TOPICS OF RESEARCH
AI & Society
• Trustworthy AI – ethical & social dimensions of developing trust in AI
• Privacy & data protection – legal, ethical and social dimension of using big data
• Transforming labour force
AI & Industry
• Legal foundations in the regulation of AI and data use
• Automated and connected vehicles policy
• Dispute resolution: opportunities & challenges AI presents to the industry
AI & Commercialisation
• Intellectual property and AI
• Data-logistics, AI and Transnational Commerce and Trading
9
A BALANCED GOVERNANCE FRAMEWORK TO ENGENDER TRUST & ENABLE INNOVATIONPROMOTE RESPONSIBLE USE OF AI, ADDRESS ETHICAL RISK, AND BUILD CONSUMER TRUST
1.
2.
3.
Integrating AI ethics into corporate governance and risk
management structures e.g. corporate values, risk management frameworks,
decision-making and risk assessment
Translating responsible AI from principles into processes e.g. data
curation, addressing data bias, responsibilities in AI model selection, unintended discrimination,
model tuning
Establishing good consumer interactions e.g. AI-human interactions,
managing customer-relations when automating decision-making, explaining decision-making
process
Accountability-based framework – ready to use tool for orgs deploy AI in a responsible manner
www.pdpc.gov.sg/model-ai-gov
Model Framework Available From
10
GUIDING PRINCIPLES FOR RESPONSIBLE AI
•Corporate governance structures, decision making models, oversight mechanisms, monitoring & reporting systems, periodic review
Internal Governance Structures & Measures
•Risk and impact assessments incorporating ethical considerations
•Degree of human intervention in AI decision-making
•Periodic review
Risk Management in AI Decision-Making
•Data curation, model formulation, model selection, training and tuning as phases
•Seeks to ensure quality, source, veracity, while mitigating inherent bias
Operations Management
•Build and maintain open relationship with customer that builds trust
•Feedback channels
Customer Relationship Management
11
APPLYING MODEL AI GOVERNANCE FRAMEWORK
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youtube.com/ IMDAsg
THANK YOU
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