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YES! INTERNATIONAL DEVELOPMENT ORGANIZATIONS NEED TO HIRE CHIEF ARTIFICIAL
INTELLIGENCE OFFICERS NOW!

By Wayan Vota on January 2, 2025

The New York Times declared that the Chief Artificial Intelligence Officer is
the hottest job in corporate America. Major companies are looking for leaders to
help them navigate the risks and potential of artificial intelligence and how it
will change the way people work.

I firmly believe it is time for international development organizations to
follow the private sector and create a Chief Artificial Intelligence Officer
role to guide how humanitarian aid can be improved and expanded using the many
digital development tools, with a focus on AI solutions.

WE NEED ARTIFICIAL INTELLIGENCE LEADERSHIP

We now do development in a digital world. We need digital development leaders
that recognize that the old paradigms are gone, the world has shifted to a new
framework, and we must pull the future forward to the present within and across
the international development industry.

Artificial intelligence solutions are improve people’s lives in developing
countries by providing access to information, opportunities, and services, and
by promoting innovation and efficiency in healthcare, education, agriculture,
and across all social and economic development sectors. For example, we already
know about:

* 18 Real-World Uses of Artificial Intelligence in International Development
* Artificial Intelligence Funding Trends in Digital Health
* Very Accurate Artificial Intelligence Agricultural Advice in Thailand

The explosive growth of generative AI applications in development contexts shows
that AI can quickly change and evolve since it was first mentioned in USAID
programs back in 1983. We can now point to a body of work on GenAI in
development, including:

* 2 GenAI Chatbot Solutions for Better Health and Education Impact
* 3 Ways Indonesians Use Generative AI for Social Impact
* 5 Southeast Asian Startup Companies Using Generative AI for Social Impact

We need leaders who understand how to utilize machine learning, natural language
processing, pattern recognition, and yes, generative AI, to acceleration
adoption of data, analytics, and AI to selectively scale proven solutions and
generate decision advantages across the organization.

3 REASONS TO HIRE CHIEF ARTIFICIAL INTELLIGENCE OFFICER

International development organizations have three very clear reasons to hire
leaders who can organize digital development advisors to bridge the digital
divide, promote local innovation, and align initiatives with the SDG, using
artificial intelligence solutions:

1. US GOVERNMENT REQUIREMENT

President Biden issued an AI Executive Order in October, 2023 to ensure that
America leads the way in seizing the promise and managing the risks of
artificial intelligence. The OMB released proposed guidance for how agencies
should implement the AI executive order. OMB Director Shalanda Young tells
agencies in the memo that:

> Artificial intelligence is one of the most powerful technologies of our time,
> and the president has been clear that we must seize the opportunities AI
> presents while managing its risks.

The guidance focuses on building up agency leadership around AI, accelerating
the adoption of AI tools within agencies and managing the risks of those AI
tools. AI is already deeply interconnected with other technical and policy areas
including data, information technology, security, privacy, civil rights and
civil liberties, customer experience, and workforce management.

USAID is hiring a Chief AI Officer as a direct result of this US government
requirement and here is the list of CAIOs at the 24 largest agencies in
government, along with the AI chiefs at 31 smaller agencies.

2. PARTNER COUNTRY RECOGNITION

Low- and middle-income governments want artificial intelligence solutions.
LMICs, such as India, Egypt, and Bangladesh are focusing on how AI can
accelerate economic growth, improve services, and provide new employment
opportunities with efficiency gains, job creation, and innovation.

For example, the The National Artificial Intelligence Policy for Rwanda serves
as a roadmap to enable Rwanda to harness the benefits of AI and mitigate its
risks. Building on the mission of the Vision 2050, Smart Rwanda Master Plan and
other key national plans and policies, it equips Rwanda to harness AI for
sustainable and inclusive growth.

3. COMPETITIVE INDUSTRY REACTION

International development organization are following the lead of private sector
firms and the US government. They are hiring CAIO’s now to ensure that AI
initiatives align with the company’s overall strategic goals. Organizations need
a roadmap for AI integration that enhances competitiveness and innovation
versus other USAID implementers.

CAIOs need to have experience with the many different types of AI, including
machine learning, natural language processing, data science, and more. Having a
CAIO is a strong signal to potential employees, competitors, and collaborators
that a company is serious about using AI to expand impact. In a
hyper-competitive donor contracting landscape, AI can provide a significant
competitive advantage.

3 CHIEF ARTIFICIAL INTELLIGENCE OFFICER COMPETENCIES

A strong CAIO requires three key competencies to succeed in this leadership role
at international development organizations.

1. AI LEADERSHIP IN INTERNATIONAL DEVELOPMENT

Experience in leading and administratively overseeing AI, data science, applied
machine learning, deep learning, large language models, generative AI, AI
ethics, and interdisciplinary programs or initiatives with a focus on
international development, humanitarian assistance, AI’s impacts on digital
ecosystems.

Experience overseeing business processes, such as staffing, upskilling,
government procurements, multi-year budgets and resources allocations that
advanced Global AI initiatives, broad policy agendas and achieve objectives.
Served as an organizational representative on a national and international
level.

2. TECHNICAL UNDERSTATING OF AI TECHNOLOGY

Senior leader level experience with industry standards relevant to AI, such as
data governance, cloud platforms, cybersecurity and privacy paradigms, and
ongoing evolution of the sociotechnical dimensions of AI. Knowledge of
structured query language (SQL) and/or similar database management systems.

Knowledge of global AI governance efforts, including at the local, national, and
international levels. Understanding of AI-related organizational budget
implications. Experience with AI programs across development and humanitarian
assistance serving developing countries preferred.

3. BUSINESS PROCESS CHANGE MANAGEMENT

Experience in leading change management (principles, processes, behaviors, and
skills) for AI across operating units and engaging with diverse stakeholders,
both internal and external, including the ability to guide, facilitate, resolve,
act, and communicate solutions.

CHIEF ARTIFICIAL INTELLIGENCE OFFICER JOB DESCRIPTION

Here is a sample job description for a visionary leader to serve as the Chief
Artificial Intelligence Officer (CAIO) for an international development
organization. They will guide AI-driven initiatives that maximize development
outcomes in low- and middle-income countries (LMICs).

JOB SUMMARY

The CAIO will lead the organization’s strategy and implementation of artificial
intelligence (AI) initiatives to support and scale sustainable development
programs across LMICs. The role will focus on harnessing AI for development
(AI4D) to address complex social, economic, and environmental issues. The CAIO
will ensure AI technologies are ethically and effectively integrated into
project design and operations, and that they align with the organization’s
mission to create locally-led, inclusive, and equitable impact.

This senior leadership role requires a deep understanding of AI, machine
learning, and data science, coupled with extensive experience in international
development contexts. The CAIO will work closely with cross-functional teams to
ensure that AI technologies empower local communities, drive efficiency, and
enhance decision-making capabilities.

KEY RESPONSIBILITIES

* Strategic Leadership: Develop and lead the organization’s AI strategy,
aligning AI initiatives with development objectives and ensuring scalability
across sectors and geographies in LMICs.
* Program Design and Implementation: Oversee the integration of AI technologies
in the design, implementation, and evaluation of programs, ensuring they
deliver measurable impact. This includes areas such as predictive analytics
for health, AI-enhanced education tools, and climate-resilient agriculture
models.
* Partnership Development: Build and maintain relationships with governments,
international agencies, academic institutions, and private sector partners to
foster collaboration and resource mobilization for AI projects.
* Ethical AI Governance: Establish frameworks for responsible AI use, ensuring
that AI systems are fair, transparent, and protect privacy and human rights.
Promote the development of AI solutions that are culturally sensitive and
locally relevant in LMIC contexts.
* Capacity Building: Lead efforts to build local AI capacities by designing
training programs, knowledge-sharing platforms, and technical workshops for
staff and local stakeholders. Promote the localization of AI skills and
technology transfer.
* Innovation and Research: Stay ahead of AI trends and ensure the organization
continuously adapts to new technologies. Lead research initiatives on AI’s
potential to solve development challenges, focusing on its application to
real-time data, wearables, mobile platforms, and decision-support systems.
* Monitoring, Evaluation, and Learning: Oversee the use of AI in monitoring and
evaluation frameworks, ensuring that AI-driven tools provide actionable
insights and improve the efficiency of data collection, analysis, and
reporting.
* AI for Good Advocacy: Act as the organization’s spokesperson on AI-related
topics in the international development community. Represent the organization
at high-level conferences, working groups, and forums, positioning AI as a
key enabler for global development.

QUALIFICATIONS AND EXPERIENCE

* Master’s or Ph.D. in computer science, data science, artificial intelligence,
or a related field.
* 10+ years of professional experience in AI, machine learning, and data
science, with at least 5 years in leadership roles.
* Proven experience in the design and implementation of AI systems in
international development, with a focus on LMICs.
* Strong understanding of ethical AI governance and human-centered design
approaches, particularly in development contexts.
* Experience building and managing cross-functional teams and collaborating
with diverse stakeholders, including governments, NGOs, donors, and private
sector partners.
* Demonstrated ability to scale AI solutions in resource-constrained
environments.
* Familiarity with programming languages such as Python, R, or Java, and AI
platforms such as TensorFlow or PyTorch.
* Excellent communication and leadership skills with the ability to influence
high-level decision-makers.
* Commitment to equity, inclusivity, and local empowerment through the use of
AI technologies.

DESIRED ATTRIBUTES

* Strong analytical and problem-solving skills, with an ability to think
strategically about AI’s role in achieving development outcomes.
* Experience in training and capacity building, particularly in low-resource
settings.
* Passionate about the potential of AI to drive social impact and reduce global
inequalities.

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