Manan Kakkar serves as the Cybersecurity AVP at Providence, a hub where technology thrives. His journey, rooted in a robust academic background in Telecommunication engineering, led him into the intricate domain of cybersecurity. At EY, he pioneered the M&A Cybersecurity practice within EY-Parthenon.

1. AI Democra za on
Leaders Bridging
the Gap Between
AI Experts and Non-experts
VOL 03 I ISSUE 21 I 2024
Scripting Cyber Success
Manan
Kakkar
and the Future of Healthcare Security
Manan Kakkar
Cybersecurity AVP
Providence
10 Best
LEADERSof the
AI Age, shaping a
New
Technological Era
2024
10 Best
LEADERSof the
AI Age, shaping a
New
Technological Era
2024
The Fundamentals
Analyzing the Risk and Reward in
AI Technology Investments

3. Past
The
is much easier to
get excited about
than the
Future

4. Editor’s
Note

5. New Technological Frontier
Leading with Integrity in the
AnishMiller
tep into the realm of innovation, where visionary leaders don their capes and steer us into a new
Sera of possibilities. These aren't your run-of-the-mill captains of industry; they possess a rare
blend of skills that transcend mere technical know-how. They guide their organizations through
uncharted territories and reshape entire industries in their wake.
At the heart of this new era lies visionary thinking, the ability to peer into the misty future and discern
the needs of tomorrow for both their company and the industry at large. These leaders have an innate
knack for spotting emerging technologies, sensing market shifts, and predicting disruptions,
positioning their companies for long-term triumph.
In a world where change is the only constant, adaptability and agility reign supreme. Thriving tech
leaders are like agile dancers, swiftly adjusting their steps to the rhythm of the market. They embrace
change, seeing challenges not as obstacles but as steppingstones towards growth, fostering a culture
of perpetual evolution within their organizations.
As technology becomes increasingly intertwined with society, ethical considerations take center
stage. Leaders of this technological revolution prioritize ethics, ensuring their organizations operate
with integrity and accountability. They grasp the societal implications of their creations, striving to
develop technology that upholds ethical standards and values.
But they don't go alone. Successful tech leaders understand the power of collaboration and inclusivity,
assembling diverse teams that bring a myriad of perspectives and talents to the table. By fostering an
environment where every voice is heard, they ignite the flames of innovation, equipping their
organizations to tackle the multifaceted challenges of the modern tech landscape.
In this brave new world, the customer is king. Tech leaders recognize the paramount importance of
delivering products and services that genuinely serve the needs of their users. By staying attuned to
their customer base, these leaders can fine-tune their strategies based on real-world feedback,
ensuring their innovations hit the mark in the marketplace.
Embark on a journey with CIOLook as we delve into the captivating tales of the 10 Best Leaders of the
AI Age, shaping a New Technological Era - 2024. Discover their visionary insights, their adaptability
in the face of change, their ethical compass, their collaborative spirit, their customer-centric focus,
their willingness to take risks, and their unwavering commitment to lifelong learning. These qualities
aren't just desirable; they're indispensable. Through their leadership, these titans not only shape the
destiny of their organizations but also leave an indelible mark on the ever-evolving landscape of
technology and its impact on society.
So, flip through the pages and immerse yourself in these captivating narratives. It's a journey you
won't soon forget!

6. C
O
V
E
R
S
T
O
R
Y

7. Analyzing the Risk and Reward in AI Technology Investments
Articles
Profile
AI Democratization
Leaders Bridging the Gap Between AI Experts and Non-experts
24
The Fundamentals
16
08
Heather Domin
Championing Responsible AI Ini a ves
Through Ethical Leadership
20
Scripting Cyber Success
Manan
Kakkar
and the Future of Healthcare Security

8. March, 2024
Pooja M Bansal
CONTENT
DESIGN
SALES
TECHNICAL
FOLLOW US ON
WE ARE ALSO AVAILABLE ON
CONTACT US ON
Editor-in-Chief
sales@ciolook.com
SME-SMO

9. Brief
Company Name
Bhavana Bhagat
Vice President,
Talent Development -
Data & AI
Bhavana is a seasoned leader in the field of talent
development, with a focus on data and artificial
intelligence (AI).
Andreas Mattsson
Chief AI & Culture
Officer and Founder at
Evaxion Biotech A/S
Andreas' dedication to fostering a positive company
culture and empowering employees has contributed to the
company's success and reputation in the industry.
Evaxion Biotech A/S
evaxion-biotech.com
Genpact
genpact.com
Ajit Jaokar
Course Director:
Artificial Intelligence:
Cloud and Edge
implementations
Ajit is a renowned expert in the field of artificial
intelligence (AI) with a focus on cloud and edge
implementations.
University of Oxford
conted.ox.ac.uk
Emma Duckworth
Head of AI &
Data Science
Emma is a seasoned leader in the field of artificial
intelligence (AI) and data science, known for her
expertise in leveraging data-driven insights to drive
business success.
Haleon
haleon.com
Florin collaborates closely with stakeholders to identify
opportunities for leveraging AI to solve complex business
challenges, enhance customer experiences, and drive
operational efficiencies.
Avanade
avanade.com
Featured Person
Kate Carruthers
Head Of Business
Intelligence - UNSW
AI Institute
As the Head of Business Intelligence at the UNSW AI
Institute, Kate plays a pivotal role in shaping the
institute's data strategy and initiatives.
Joshua continues to lead with passion and determination,
driving forward the organization's mission and vision
while creating value for its stakeholders.
Inquisio.AI
inquisio.ai
UNSW
unsw.edu.au
Heather is a passionate advocate for responsible artificial
intelligence (AI) practices, known for her leadership in
driving ethical and socially conscious AI initiatives on a
global scale.
IBM
us.ibm.com
Lisel Engelbrecht
Executive Head :
Data Engineering,
Analytics and AI
Lisel is a distinguished leader in the field of data
engineering, analytics, and artificial intelligence (AI),
renowned for her strategic vision and expertise in
leveraging data-driven insights to drive organizational
success.
Standard Bank South Africa
standardbank.co.za
Manan Kakkar
AVP, Cybersecurity
Manan is known for his ability to lead cross-functional
teams, develop comprehensive cybersecurity programs,
and mitigate cyber threats effectively.
Providence
providence.org
Florin Rotar
Chief AI Officer
Heather Domin
Global Leader for
Responsible AI
Initiatives
Joshua Penner
Founder and CEO

10. Scripting Cyber Success
Manan
Kakkar
and the Future of Healthcare Security
My team’s role
is to facilitate the
development of a
cohesive cybersecurity
strategy that’s aligned
to the CISO, CIO and
CEO’s vision.

11. Cover
S t o r y
Cover
Manan Kakkar
Cybersecurity AVP
Providence

12. anan Kakkar serves as the Cybersecurity
MAVP at Providence, a hub where technology
thrives. His journey, rooted in a robust
academic background in Telecommunication
engineering, led him into the intricate domain of
cybersecurity. At EY, he pioneered the M&A
Cybersecurity practice within EY-Parthenon.
During his tenure at Deloitte, Manan showcased
strategic brilliance by leading enterprise-wide risk
assessments. He crafted proactive security strategies,
transforming reactive measures into effective shields
against risks. Manan not only designed plans but also
operationalized them, ensuring organizations could
detect, monitor, respond, and recover effectively.
Beyond his corporate role, Manan is a tech enthusiast
and a prolific writer. His analytical skills extend to
dissecting technologies and predicting their impact on
future landscapes. He holds the esteemed title of
Microsoft MVP for Windows Desktop, solidifying his
reputation in the tech sphere.
Within Providence Health, Manan is a driving force,
guiding the organization towards a future where
technology, security, and innovation converge
seamlessly.
Let’s delve into a narrative of transformation, resilience and
visionary leadership, marking Manan as a trailblazer in the
ever-evolving world of cybersecurity!
Guardian of Digital Fortresses
Manan embodies a crucial role in shaping a robust
cybersecurity strategy. His team acts as the linchpin,
integrating the visions of the CISO, CIO and CEO into a
seamless plan. “My team’s role is to facilitate the
development of a cohesive cybersecurity strategy that’s
aligned to the CISO, CIO and CEO’s vision,” he states
earnestly. They meticulously allocate budgets,
explaining their choices to various teams and ensuring
every penny aligns with their strategy.
I learned about
deploying Oracle Identity
Management tools, Qradar,
pivoted to cybersecurity
strategy work which got me
exposure to a lot of industries
like Healthcare, public sector,
restaurant industry etc.

13. With a watchful eye, Manan’s team oversees execution
with both engineering and business teams. It’s the
incorporation of strategy, budget and execution where
Manan leads the way with utmost precision.
Words to Shields
Manan’s journey into healthcare cybersecurity is as
intriguing as it is inspiring. “I’ve had a very interesting
path into cybersecurity and now into healthcare
cybersecurity,” he reflects, tracing his steps from being a
telecom engineer to delving into the intricate world of
networks and core technologies. His knack for writing
led him to tech journalism, immersing him in breaking
news stories. Grad school was a turning point, getting
him back on track to networks and business
management and laying the foundation for his
cybersecurity career. His tenure at Deloitte and EY
sculpted his expertise, especially in pioneering
cybersecurity due diligence during M&A, a concept
considered revolutionary at the time.
Manan’s journey reflects his resilience and innovation.
“I learned about deploying Oracle Identity Management
tools, Qradar, pivoted to cybersecurity strategy work which
got me exposure to a lot of industries like Healthcare, public
sector, restaurant industry, etc.,” he recounts. His
expertise wasn’t confined to digital realms—he
ventured into physical security assessments, leaving an
indelible mark on internal audit reports.
His pivotal moment arrived when he collaborated with
Providence’s CISO, embarking on a transformative
mission. “That’s how I ended up here and that’s where we
are going,” he states with determination. Manan's story
highlights the core qualities of leadership—a
combination of expertise, adaptability and the bravery
to advocate for innovative approaches.
Shielding the Vulnerable
“It’s extremely challenging for the teams and the industry at
large,” he admits, acknowledging the constant barrage
of new technologies and techniques employed by cyber
threats. Guided by decisive leaders, his team comprises
exceptionally skilled individuals adept at both tools and
manual validation of alerts. Their strength lies in
strategic partnerships with cybersecurity industry
vendors, enriching their defense with shared threat
intelligence.
What sets them apart is the unique
background of their SecOps leader and CISO,
drawing from intelligence and armed forces. This
background not only brings expertise but also
valuable connections, enabling collaborations with
entities like the FBI. Manan emphasizes the complexity
of the challenge, highlighting the need for a dedicated
ecosystem working tirelessly to safeguard our health
system and society.
Data: The Double-Edged Sword
Manan delves into the complexities faced by leaders in
the intricate world of cybersecurity. “There are cyber
risks, compliance risks, regulatory requirements,” he points
out, emphasizing the multifaceted nature of the
challenge. Balancing the need for security with the
demand to ‘move fast’ in the tech landscape creates a
delicate equilibrium.
“Anything regulated has to be locked down, that’s not
negotiable,” he asserts, underlining the non-negotiable
aspects of compliance. Yet, he navigates the gray areas,
where data becomes a competitive advantage. Here,
collaboration is key. “We have to work with data
custodians and customers, challenging everyone on the
problem being solved,” he explains.
Manan's effective leadership is evident in his approach,
where he demonstrates a nuanced understanding that
each case is unique. “We cannot lock down everything
because that will restrict science and business
development,” he wisely notes. His strategy? Finding the
middle ground where reasonable guardrails are set.
In the intricate interaction of security, compliance and
progress, Manan demonstrates effective leadership. He
strikes a nuanced balance between firmness when
required and cooperation when feasible. This approach
guarantees not only cybersecurity but also nurtures
innovation and organizational development.
Strength in Being Consistent
“Consistency is key in cybersecurity,” he asserts,
emphasizing the need for uniform application of
controls. Under the visionary leadership of CIO BJ
Moore, Providence embarked on a transformative
journey. “We’ve worked with the regional and folks on the
ground embedded in the hospitals,” Manan explains.

14. people who keep an eye out for regulatory changes, existing
laws and rules,” he emphasizes.
The synergy between legal, compliance and technical
leaders is crucial. They delve into the nuances,
deciphering interpretations and motivations behind
requirements. Manan
demonstrates leadership by
recognizing the collective
intelligence within his team,
ensuring seamless alignment
between legal and technical
aspects.
Prescribing Solutions
In his extensive journey
spanning diverse sectors,
Manan pinpoints two crucial
challenges in healthcare
cybersecurity. “Firstly,” he
begins, “we must ensure
cybersecurity controls at
hospitals and clinics without
disrupting frontline
caregivers.”
For Manan, the balance
between robust security and
seamless patient care is
paramount. He recognizes
the disparity between his
tech enthusiasm for
measures like MFA and a
nurse’s focus on patient
safety. “Our caregivers are
targets, so we focus on non-
disruptive security controls,”
As digital giants like
Amazon and Walmart step
into healthcare, Providence, with
its century-long legacy, must
rapidly embrace technology.
This collaborative approach allowed them to centralize
their cyber resources, processes and technologies.
The result? A streamlined system enabling the
implementation of crucial controls like MFA system-
wide and a comprehensive endpoint security strategy.
Internally, efforts to consolidate vendor tools have
streamlined their cyber stack significantly.
Manan's statement highlights a crucial reality—amidst
changing threats, steadfast and unified cybersecurity
strategies are pivotal. They guarantee the safety and
resilience of digital infrastructure.
In Compliance We Trust
In the world of regulations and compliance, Manan
trusts his team of experts. “We have some very smart

15. he stresses, acknowledging the need for awareness
without hindering critical care.
The second challenge delves into the intricate
healthcare vendor landscape. “Securing connections and
addressing vulnerabilities in biomedical devices pose a huge
challenge,” he admits, revealing the complexity that
keeps their team vigilant. This concern isn’t just a
theoretical worry—it’s a tangible issue that occupies
their thoughts, especially their dedicated SecOps
leader.
In these challenges, Manan demonstrates leadership
through a deep comprehension of the human
dimension of cybersecurity and a proactive strategy in
addressing the intricacies within their control. This is
achieved while preserving the core principles of patient
care, showcasing a keen balance between technical
expertise and compassionate service.
Pioneering Cyber Sentinels
Manan sees innovation as a diverse continuum. “We
look at this as a spectrum,” he explains. “Sometimes,
solving the simplest problem requires innovation in some
fundamental ways.” He delves into the complexities,
illustrating how even seemingly straightforward tasks
demand innovative approaches.
From implementing multifactor authentication across a
vast healthcare network to exploring groundbreaking
avenues like Generative AI, his team navigates this
spectrum with finesse. “There are product innovations or
moon shots,” he elaborates, citing their collaboration
with federal agencies and ventures into Generative AI.
Certainly, Manan underscores the significance of
incremental and process innovations, which he asserts
have a considerable impact on daily operations. From
Manan's viewpoint, innovation is not a remote idea but
a dynamic force that molds their strategies, ensuring
the safety of the healthcare system they protect.
Uniting Forces
At Providence, Manan observes a pivotal shift, one he
deems as the most significant personal transformation
within the organization. “Moving cyber more to the left of
a process’ and ‘cyber having a seat at the table are not just
concepts but integral parts of our extended leadership
team,” he emphasizes.
This change isn’t merely theoretical—it’s a
shift in mindset and approach. If any task arises
where cyber wasn’t involved early, their team
steps in, highlighting the missed opportunity and
demonstrating how early engagement accelerates
processes.
Manan’s perspective unveils a fundamental
truth—collaboration is the cornerstone of a robust
cybersecurity strategy. “For any mature cyber
organization, this is a key to success,” he states, stressing
the importance of building relationships with non-
cyber stakeholders.
In his view, understanding others’ challenges and
actively assisting in problem-solving breaks down
traditional barriers. It’s a refreshing take on
cybersecurity, one where engagement and
understanding pave the way for innovation and
efficiency.
Beyond Firewalls
Manan’s approach to staying updated is as diverse as
the ever-changing tech landscape. “I’m subscribed to
blogs, journalists, across platforms like Twitter, Threads,
LinkedIn, newsletters, and traditional media outlets,” he
reveals. His strategy encompasses a broad spectrum,
from formal CVE alert systems to insights from
vendors.
In the midst of abundant information, Manan adeptly
explores podcasts, extracting valuable insights. His
diverse approach demonstrates leadership, as he
integrates numerous sources, guaranteeing a
comprehensive perspective in the swiftly changing
technology landscape.
Wielding the AI Shield
In the field of AI and cybersecurity, Manan outlines the
dual responsibilities of cyber teams. “Our first role is to
support AI initiatives of other teams,” he states,
highlighting their collaborative nature. Yet, there’s a
formidable challenge—the rise of GenAI technology.
“Attackers and defenders both have access to these tools,”
Manan observes, emphasizing the decreasing skill
barrier for malicious actors.
Despite these challenges, he sees a silver lining. “The
cyber and tech industry are also doing some cool things

16. with these technologies,” he notes, pointing towards
innovative solutions. GenAI isn’t just a hurdle—it’s a
bridge. “Asking Gen AI what the next steps are—there are
ways this technology will help bridge the talent gap in
cyber,’ he explains, showcasing the potential of AI in
empowering cybersecurity professionals.
In the dynamic landscape of evolving technology,
Manan demonstrates leadership by acknowledging
challenges and recognizing the transformative
potential of these technologies. He ensures that cyber
teams stay adaptive and proactive in addressing
emerging threats.
Where Technology Meets Tenacity
Manan recognizes the need for swift adaptation. “As
digital giants like Amazon and Walmart step into
healthcare, Providence, with its century-long legacy, must
rapidly embrace technology,” he asserts. Under visionary
leadership, technology has seamlessly integrated into
patient care. Yet, challenges loom. “We have to securely
roll out AI models, ensuring the safety of underlying data,”
he explains, highlighting the complexity of their task.
Manan’s strategy embodies foresight—a multifaceted
approach. “We prepare for advanced adversaries,
employing a defense in depth approach,” he states,
emphasizing the resilience required to safeguard
Providence.
It's not merely about embracing new technologies, but
also about strengthening their foundations. Amidst
rapid evolution, the primary objective of delivering care
must remain steadfast. According to Manan, leadership
entails not only embracing innovation but also
reinforcing the current state while envisioning a secure
and technologically advanced future for healthcare at
Providence.
Cyber Wisdom
Manan advocates a profound principle
in leading the path—empathy and
sympathy. “Understand the motivations of your
customers and align your goals with theirs,” he
emphasizes. His approach underscores a
fundamental truth—being an enabler fosters
understanding and collaboration. “Be curious about the
problems people are trying to solve and be enablers,” he
urges, challenging the conventional ‘no’ mindset.
For him, cybersecurity revolves around comprehending
objectives and constraints rather than imposing
restrictions. By encouraging curiosity and empathy,
leaders can connect innovation with security, fostering
a balanced environment where risks are recognized and
solutions are developed collaboratively. Manan's
insight applies not only to cybersecurity but also serves
as a universal leadership principle—promoting
understanding, enabling cooperation and nurturing
collaboration for shared success.
Asking Gen AI what
the next steps are—there
are ways this technology will help
bridge the talent gap in cyber.

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18. AI Democratization
n today's advancing technological background, Artificial Intelligence (AI) has
Iemerged as a transformative force across various industries. AI has the potential to
revolutionize how businesses operate, healthcare is delivered and governments
function. However, AI's successful integration into these sectors requires effective
communication and collaboration between AI experts and non-experts. Leaders play a
pivotal role in bridging this gap, fostering a harmonious environment where AI can
thrive while addressing concerns and challenges faced by non-experts.
The Divide Between AI Experts and Non-Experts
AI experts, including data scientists, machine learning engineers, and AI researchers,
possess the specialized knowledge required to develop and implement AI solutions. On
the other hand, non-experts, such as business executives, policymakers, and healthcare
professionals, may lack the technical understanding of AI but are responsible for
making critical decisions that involve AI technologies. The disparity in knowledge and
expertise can lead to misunderstandings, mistrust, and missed opportunities.
The Challenges of Communication
Effective communication is at the heart of bridging the gap between AI experts and
non-experts. AI experts often use technical jargon and complex algorithms to explain
their work, making it difficult for non-experts to grasp the potential benefits and
limitations of AI applications. Moreover, non-experts may have concerns about the
ethical implications, privacy issues, and the impact of AI on their industries and job
security.
Leadership's Role in Bridging the Gap
Leaders in organizations, government bodies, and academic institutions have a critical
role to play in bridging this divide. Here are key ways in which leaders can facilitate
effective collaboration between AI experts and non-experts:
www.ciolook.com | March 2024 |
16
Leaders Bridging the
Gap Between AI Experts
and Non-experts

19. www.ciolook.com | March 2024 |
17

20. Education and Training: Leaders should invest in AI
literacy programs for non-experts to familiarize them
with the fundamentals of AI. This includes workshops,
seminars, and online courses tailored to the specific
needs of different industries.
Cross-Functional Teams: Encourage the formation of
cross-functional teams that include both AI experts and
non-experts. Collaboration among diverse perspectives
can lead to innovative solutions and a better
understanding of AI's potential and limitations.
Effective Communication: Leaders should promote
clear and accessible communication between AI
experts and non-experts. AI experts should be trained
to convey complex ideas in simple terms, and non-
experts should feel comfortable asking questions
without fear of judgment.
Ethical Guidelines: Establish clear ethical guidelines
and frameworks for AI development and deployment.
Leaders should ensure that AI projects adhere to these
guidelines, addressing concerns related to bias,
transparency, and accountability.
Transparency and Accountability: Leaders must hold
AI projects accountable for their impact. Regular
assessments and audits of AI systems can help build
trust among non-experts and ensure ethical practices.
Reskilling and Upskilling: Provide opportunities for
non-experts to acquire relevant skills in AI. This could
include reskilling programs for employees and training
initiatives for policymakers.
Promoting Diversity: Encourage diversity within AI
teams to bring in a wider range of perspectives and
insights. Diverse teams are more likely to consider the
social and ethical implications of AI technologies.
Fostering a Culture of Collaboration
Leaders must work to foster a culture of collaboration
between AI experts and non-experts within their
organizations or institutions. This involves not only
creating opportunities for interaction but also
incentivizing and valuing contributions from both sides.
Some strategies include:
Incentive Structures: Recognize and reward
collaborative efforts that involve both AI experts and
non-experts. This can be done through performance
evaluations, bonuses, or promotions based on
successful cross-functional projects.
Open Forums: Establish regular forums, such as town
hall meetings or cross-functional brainstorming
sessions, where AI experts and non-experts can openly
discuss ideas, concerns, and progress related to AI
initiatives.
Ethical Considerations and Responsible AI Leadership
Leaders must prioritize ethical considerations when
bridging the gap between AI experts and non-experts.
This involves:
Ethics Committees: Establish ethics committees or
boards that include diverse perspectives to evaluate
and guide AI projects and policies from an ethical
standpoint.
Privacy Protection: Enforce strong privacy protections
and data security measures to alleviate concerns about
data misuse and breaches.
Fairness and Bias Mitigation: Implement measures to
detect and mitigate biases in AI algorithms, ensuring
that AI systems do not perpetuate discrimination or
inequality.
Continuous Monitoring: Regularly monitor the ethical
implications of AI systems throughout their lifecycle,
from development to deployment, and be prepared to
make adjustments as needed.
Public Accountability: Promote transparency in
decision-making processes related to AI ethics and
invite public scrutiny to hold leaders accountable.
Bridging the gap between AI experts and non-experts is
a multifaceted challenge that requires leadership at
various levels, from organizational leaders to
policymakers and government officials.
By fostering a culture of collaboration, promoting
transparency and prioritizing ethics, leaders can
facilitate a more inclusive and responsible integration
of AI into society. In doing so, they can harness the
transformative power of AI while addressing the
concerns and ensuring the well-being of non-expert
stakeholders.
www.ciolook.com | March 2024 |
18

22. Heather Domin
Championing Responsible AI Initiatives
Through Ethical Leadership
eather Domin's professional journey
Hseamlessly aligns with IBM's ethos of
excellence and responsibility in the technology
sector. Heather was drawn to IBM's renowned
reputation as a trusted technology leader, built on a
foundation of innovation and ethical practices. Now, as
the Global Leader for Responsible AI Initiatives,
Heather embodies these values, epitomizing excellence
within the company.
With a fervent belief in technology's potential for
societal good, Heather's journey into the world of
responsible technology began long before she
undertook her current role as a Global Leader for
Responsible AI Initiatives at IBM.
During her academic pursuits, Heather delved deep
into the realms of emerging technology, for example
exploring the intricacies of Radio Frequency
Identification (RFID) and its implications on trust within
businesses and society. This early fascination laid the
groundwork for her enduring commitment to
responsible technology.
However, it was more recent events that further
deepened Heather's dedication to the ethical
dimensions of AI. "For example, learning of disparities
in AI performance across demographic groups and
hearing of troubling instances of facial recognition
misuse," Heather recognized the urgent need for
comprehensive safeguards. This pivotal moment
spurred her to focus her PhD research on the ethics of
facial recognition technology, aiming to dissect
concerns and identify viable solutions.
Driving Responsible AI
Heather directs and advises on global strategic
responsible AI initiatives within the IBM Office of
Privacy and Responsible Technology. She plays a pivotal
role in building subject and technical expertise while
working with partners to further IBM's position as an
industry thought leader.
"My focus is on driving responsible AI initiatives both
externally and internally," she emphasizes. "Together,
we're advancing IBM's commitment to providing trusted
technology, such as the IBM watsonx platform," she adds.
Principled Foundations
"I believe foundational practices should always be tied to
company principles," Heather emphasizes. "At IBM, our
Trust and Transparency principles and pillars of
Explainability, Fairness, Robustness, Transparency, and
Privacy guide our practices," she explains.
In developing and executing foundational practices,
senior leadership support and networks from each of
the company's business units are critical to success. It
takes many people and different types of expertise to
successfully put principles into practice.
"My approach to the development and execution of
foundational practices in AI ethics within Privacy and
Responsible Technology could best be described as
principle-based and collaborative," Heather shares. "This
work cannot be done alone, and I'm truly fortunate to
have had the pleasure of working with many talented
and passionate individuals," she reflects.
Tech Ethics in Action
One of the most exciting parts about working on
emerging technologies and practices is that they can
provide a tremendous opportunity for improved human
well-being, productivity, and economic growth. Heather
explains that with the speed at which technology is
evolving, it's critical to stay connected with a wide
range of stakeholders within the tech industry and
broader society.
www.ciolook.com | March 2024 |
20

23. "I have had the privilege of playing a
leadership role and contributing to
groups like the Data & Trust Alliance
User Group for Algorithmic Bias
Safeguards for Workforce," Heather
continues. "Additionally, I have
contributed to initiatives such as the
NIST Generative AI Public Working
Group and the Ohio State University
Program on Data and Governance's
Expert Group on Responsible AI
Management," she adds.
In her role as Associate Director for
the Notre Dame—IBM Tech Ethics
Lab, Heather establishes
collaborative research addressing
tech ethics areas like AI risk scoring
and return on investment in AI
ethics and governance. "I also serve
as a World Economic Forum Fellow,
focusing on generative AI research,"
she notes. "Recently, I joined the
International Association of Privacy
Professionals AIGP Exam Development
Board to help guide the certification of
professionals in AI governance,"
Heather states. She affirms that all
these efforts aim to positively
influence the broader technology
industry and society.
Achieving Balance
Balancing academic pursuits,
professional certifications, and
leadership roles, focus and
prioritization are crucial. Taking
action early helps avoid being
overwhelmed by multiple deadlines.
For instance, completing
certification renewal requirements
ahead of schedule rather than
waiting until the last minute.
Heather shares, "My sense of balance
stems from my passion for my work
and my gratitude for life's blessings. I
believe in giving back and contributing
where I can. I also have a love for
Heather Domin
Global Leader for
Responsible AI
Initiatives
IBM
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24. learning, whether it's through reading, writing, researching,
or engaging with others.”
Since she genuinely enjoys what she does, it doesn't
feel like work—it feels like fun. This perspective greatly
aids in maintaining balance. Moreover, Heather
prioritizes faith, relationships and health to ensure a
well-rounded life.
The Role of Advocacy
In navigating the complexities of technology,
understanding its benefits and risks is essential.
Heather emphasizes that a clear explanation of the
benefits and potential concerns, accompanied by
examples can be helpful in gaining buy-in and
agreement to take action. This holds true for both
external and internal advocacy efforts.
External advocacy involves engaging with diverse
stakeholders, each bringing valuable experiences and
perspectives. Heather notes, "Open and honest dialogue
in working groups and other forums can help deepen a
broader understanding of issues." Similarly, internal
understanding is crucial. Heather explains that new
team members often require education and open
discussion to comprehend the importance of
performing their roles.
Moreover, business decision-makers require evidence
and understanding. Heather shares, "I've worked to
ensure corporate-level policy updates reflect current
requirements and published research on how organizations
can justify investments in AI ethics and governance." This
concerted effort helps to ensure alignment with
evolving needs and fosters informed decision-making.
The Imperative for Industry and Government
Heather emphasizes the importance of continued focus
from industry and government leaders on embracing
technology's benefits while enhancing human well-
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25. being and achieving sustainability goals. "Initiatives in
research, open resources, common standards, institutional
guardrails, and education are crucial," she notes.
Contributing to these initiatives and shaping the
technology landscape and governance to maximize
benefits and reduce risks feels like personal success to
Heather. "By actively engaging in these areas, we can strive
towards a future where technology serves society in the
best possible way," she states.
Perspective and Perseverance
Maintaining perspective is crucial, notes Heather,
emphasizing the significance of keeping the bigger
picture and a long-term view during momentary
challenges. "Patience is key—patience with people and
patience with the process of change," she adds. Reflecting
on the progress made serves as motivation to
persevere. "Progress is possible, and witnessing it daily
inspires me," Heather shares.
She finds inspiration in her colleagues who tackle
significant technology ethics issues. "Knowing that I am
not alone and that our collective efforts will lead to a better
future for us all keeps me driven," she expresses.
Leading with Integrity
For aspiring leaders passionate about promoting ethical
practices in AI and technology, Heather recommends
seeking areas where leadership is needed. "If you see a
problem that needs to be solved and think you can help, see
how you can get involved," she advises. Starting small is
perfectly acceptable, as most endeavors do. "We all
have unique gifts to contribute, and the world needs yours.
You can make a difference," Heather emphasizes.
Cultivating a growth mindset and seeking out learning
opportunities are crucial. For instance, leveraging
resources like IBM SkillsBuild for AI and AI ethics
credentials can be valuable. "Pursuing certifications like
the IAPP AI Governance Professional Certification can also
pave the way," Heather suggests. Additionally, finding
mentors and like-minded peers for support is essential
in fostering personal and professional growth. "In any
area we wish to grow, support is crucial," Heather
concludes.
If you see a
problem that
needs to be
solved and
think you can
help, see how
you can get
involved.
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26. The Fundamentals
Analyzing the
Risk and Reward
in AI Technology
Investments
valuating AI technology investments requires understanding the
Etechnology's current state, potential for future development, and
applicability across different industries. Investors need to balance the
potential high returns of AI investments against the inherent risks associated with
emerging technologies. This balance is key in making strategic investment
decisions in the AI sector.
Understanding AI Technology Investments
Investing in AI technology is an area that's drawing significant attention from a
variety of investors. Different factors influence the potential risks and rewards
associated with such investments. The rapid evolution of technology contributes
to both the uncertainty and potential of this sector. Investors often assess the
market trends, the technological advancements in AI, and the financial
performance of AI companies to gauge the viability of their investments.
Evaluating the Risk Factors
One of the primary concerns in AI technology investment is the unpredictability
of technological advancement. The pace at which AI technologies evolve can
render certain products or services obsolete quickly. Another risk factor is market
saturation, with numerous companies vying for a share in the AI market, leading
to intense competition. Additionally, regulatory changes can impact AI technology
investments. Legislation around data privacy and AI ethics is evolving, and
changes in these areas can affect AI companies' operations and profitability.
Assessing the Reward Potential
On the flip side, AI technology investments can offer substantial rewards. AI's
application across various industries from healthcare to finance signifies its broad
market potential. The efficiency and cost-saving advantages of AI technologies
can drive profitability for businesses adopting these technologies. Moreover, the
ongoing advancement in AI technology indicates a long-term growth trajectory
for companies in this sector.
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24

27. Strategic Considerations for AI Investment
Investors considering AI technology
investments should adopt a strategic
approach. It involves analyzing the specific AI
technologies a company develops or utilizes,
understanding the company's market
position, and evaluating its financial
performance. Another important aspect is
assessing the management team's expertise
in both AI and business operations. A
company with a strong leadership team and a
clear vision for AI applications is more likely
to succeed in this competitive market.
Coinvesting represents an example of AI
technology investments. This brand focuses
on leveraging AI in investment strategies,
reflecting the growing trend of integrating AI
into various business operations.
Coinvesting's approach highlights the
potential of AI in enhancing investment
decision-making processes.
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March
25

28. The Importance of Diversification
Diversification is a key strategy in eliminating risks
associated with AI technology investments. By
investing in a range of companies across different
applications of AI, investors can spread their risk. It's
also important to consider the stage of the companies
in their development. Early-stage companies might
offer higher growth potential but come with higher
risks, while more established companies might provide
more stability but slower growth.
Future Outlook of AI Investments
Looking ahead, the AI technology sector shows signs of
continued growth. Innovations in AI are likely to open
new markets and opportunities for businesses.
However, investors should remain aware of the
evolving nature of technology and regulatory
environments. Staying informed about these changes is
important for making well-informed investment
decisions in the AI technology sector.
The Role of AI in Different Sectors
AI technology's impact varies across different
industries, each presenting unique opportunities and
challenges for investors. In healthcare, AI is being used
to improve diagnostic accuracy and patient care,
suggesting a strong growth potential. However, the
high cost of research and development in this sector
can be a risk factor. In contrast, the finance sector
utilizes AI for algorithmic trading and risk assessment,
areas with rapid growth but also subject to stringent
regulatory scrutiny. Comprehending these industry-
specific dynamics is necessary for investors in making
informed decisions about where to distribute their
resources within AI technology.
Long-Term Vision in AI Investment
Investing in AI technology requires a long-term
perspective. Short-term market fluctuations can be
misleading, given the nascent nature of many AI
technologies and their long development cycles.
Investors might benefit from focusing on companies
with a clear long-term vision and a sustainable business
model. This approach involves evaluating a company's
research and development pipeline, its capacity for
innovation, and its ability to adapt to market changes.
Companies that invest in continuous learning and
improvement of their AI technologies are more likely to
sustain growth over time.
The Impact of Global Trends on AI Investments
Global economic and technological trends significantly
influence AI technology investment. Factors such as the
increasing prevalence of high-speed internet, the
growth of data analytics, and the expansion of cloud
computing infrastructure contribute to the growth of
AI technologies. Additionally, geopolitical events and
economic policies in key markets like the United States,
China, and Europe can affect the global AI technology
sector. Investors need to stay informed about these
global trends as they can impact investment
opportunities and risks in the AI technology market.
Understanding these broader economic and
technological trends is essential for making strategic AI
technology investment decisions.
Final Thoughts
Investing in AI technology involves a careful balance of
risk and reward. By understanding the specific factors
that influence the AI market and adopting a strategic
approach, investors can navigate this dynamic sector.
The potential for significant returns exists, but it comes
with the need for thorough research and strategic
planning. As with any investment, the importance of
due diligence and a well-considered strategy cannot be
overstated in AI technology investments.
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30. www.ciolook.com
Artificial Intelligence is not a substitute for
human intelligence; it is a tool to amplify
human creativity and ingenuity.