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2019/ECSG/WKSP2/011

Singapore’s Artificial Intelligence Governance and Ethnics Initiatives

Submitted by: Singapore

Workshop on Promoting the Participation of MSMEs in the Regional Market to Bridge the Digital

Divide in APECHa Noi, Viet Nam

22-23 October 2019

SINGAPORE’S AI

GOVERNANCE &

ETHICS

INITIATIVES

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

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 INITIATIVES

Research Programme on Governance of AI and Data Use• Build a body of knowledge and expert pool in legal, policy and governance issues relating

to AI and data use

• Complement scientific AI research and professional training to build a robust AI ecosystem

• Anticipate legal, regulatory and policy issues as AI adoption broadens and explore

potential solutions

Advisory Council on the Ethical Use of AI and Data• Bringing relevant stakeholders together (industry, consumers, and academia)

• Advise Government on issues in AI commercial deployment that may require policy

intervention

• Promote responsible use of AI through voluntary codes of practice, practical guidance

Model AI Governance Framework• Voluntary, cross-sector, tech-/algorithm-agnostic; adaptable to meet different needs

• Translate high-level ethics principles into implementable practices for organisations

1

2

3

4

BALANCED GOVERNANCE FRAMEWORK TO ENGENDER TRUST & ENABLE INNOVATION

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 practices e.g. data

curation, addressing data bias, responsibilities in AI model selection, unintended discrimination,

model tuning

Establishing good consumer interactions & communication e.g. AI-

human interactions, managing customer-relations when automating decision-making, explaining

decision-making process

Accountability-based framework

www.pdpc.gov.sg/model-ai-gov

Model Framework Available From

5

GUIDING PRINCIPLES FOR MODEL AI GOVERNANCE FRAMEWORK

DEC

ISIO

N

MA

KIN

G P

RO

CESS

Explainable

Transparent

Fair

AI SY

STE

MS &

SO

LUTI

ON

S

Human-centric

Safe

6

MODEL AI GOVERNANCE FRAMEWORK :ACCOUNTABILITY-BASED PRACTICES & MEASURES

Corporate governance

structures, decision

making models,

oversight mechanisms,

monitoring & reporting

systems, periodic review

Risk & impact assessments

incorporating ethical

considerations

Degree of human

intervention in AI decision-

making

Periodic review

Data curation, model

formulation, model

selection, training &

tuning as phases

Ensure quality, source,

veracity, while

mitigating inherent

bias

Build & maintain open

relationship with customer

that builds trust

Feedback channels

Corporate

GovernanceRisk

Management

Operations

Management

Customer

Relationships

CORPORATE OPERATIONS CONSUMERS

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