3. “Responsible AI is the practice of building and deploying AI solutions
with uncompromising commitment to user trust and safety”
4. As organizations move towards defining Responsible AI as a culture, their value increases manifold
5. AI is now ubiquitous in our lives
With the increase in quantum of
data generated at individual
level, it has become necessary to
have proper guidelines and
mechanism in place to ensure
user trust and privacy are
upheld.
Logos are copyright and trademark of the respective organizations
6. 16 18
26
33
41
64
79
97
120
147
181
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Source: Statista, Domo and financesonline.com
Volume of data generated and
consumed in Zettabytes (a trillion
gigabytes)
Velocity of Data generation and consumption
Variety of Data generation and consumption
Text Pictures Voice Videos Others
Value of Data generation and consumption
10. Use of AI in the analysis of the
attitude of masses like savings,
health and safety, demographic
trends and leisure
Social
Environmental
Regulations impacting cost
advantage dynamics, influence of
climate change, consumer activism
for environmental concerns
Economic
• Empowering predictive analytics
in forecasting economics
• Predict supply-demand changes
to mitigate the impact of
economic downturns
Technologica
lAI analyzing integration of technology
into society, cost of production and
trends, IPR and patent protection,
research and development investments
AI enabled applications demonstrate tremendous potential for generating economic and social value across sectors, yet it
is critical to balance this promise against emergent risks from AI innovation and adoption.
11. AI Governance Landscape
$500B
By 2025
Global AI Market
$7.8B
By 2025
Indian AI Market
>55%
businesses
Weak RAI Compliance
170+ ethics frameworks that remain
impracticable from implementation
POV as they are high-level, vague,
and sometimes even conflicting
Scanty and fragmented statutory
guidance resulting in regulatory
uncertainty around responsible
development and use of AI
Lack of clear-cut, consistent responsible AI
benchmarks and standards for industry
adoption
Continuing weak responsible AI compliance by businesses
- risks public trust & safety
- precludes growth & scaling opportunities for startups and enterprises
- could result in unfavourable forms of regulation hampering industrial innovation & growth
12. Responsible AI is not a static domain: the innovation landscape is evolving at a breakneck pace
Source: Gartner
Responsible AI
still has 5-10
years to reach
plateau
13. The governance landscape of Responsible AI is marked by fast-evolving public and private regulatory approaches
14. Global awareness around Ethics is growing along with initiatives by policy makers to boost AI in their territories and
beyond…
GLOBAL: Number of New Ethics Principles by Organization type
(2015-20)
2 2 11 13
6 4
3
19
8 15
1
2
5
1
2
11
9
4
2015 2016 2017 2018 2019 2020
Government Agency
Intergovernmental Organization/Agency
Private Company
Research/Professional Organization
India’s AI strategy has been defined by NITI Aayog, supported by other
key organizations such as NASSCOM
• Fairness
• Transparency
• Privacy
• Security
• Economic growth
• Social inclusion
Themes
emerging
from
Ethical AI
discussions
• NITI Aayog defined AI strategy
• Rolled out Discussion Paper on
“National Strategy for AI” in Jun 2018
#AIforAll
• Ethical guidelines for AI for India
• Not-for-profit industry association,
apex body for IT BPM
• Drive policy advocacy
• Expanding India’s role in global IT
• Mission to transform India by
transforming the industry
• Talent
• Innovation
• Create new
markets
• Trust
• Inclusion
Strategic
imperative
s focused
upon
15. Quick Glance at Responsible AI Initiatives Globally
(excluding legislative mandates, e.g., EU AI Act of 2022)
Standards Development Policy guidance
Private Regulation
16.
17. With the dedicated
support from its
Responsible AI
Working Group,
NASSCOM produced a
set of actionable tools
and guidance to enable
businesses to leverage
AI to grow and scale
with confidence by
prioritising user trust
and safety.
Governance Framework
recommending management tools
and structures for enterprises to
assess and mitigate ethical risks
arising from the deployment of AI
solutions
Maturity Assessment Tool
enabling enterprises to
independently assess and
monitor the development and
deployment of AI solutions for
ethical compliance
Architect’s Guide
prescribing responsible AI
best practices implementation
methods and tools for
enterprise adoption
NASSCOM Responsible AI Toolkit
(marking the initiation of an industry-wide effort to drive responsibleAI adoption at scale)
