The document discusses the convergence of AI, blockchain, and IoT technologies and provides examples of integration and use cases. Specifically: 1. It outlines how AI and blockchain can be integrated in areas like data marketplaces, privacy compliance, distributed computing, and improving trust in AI systems. Blockchain can also optimize AI operations and transactions. 2. Integration examples are provided like an AI expert marketplace using blockchain for data sharing, a news content sharing platform using AI for fact checking, and supply chain management applications. 3. Ways IoT and blockchain interact include secure data sharing between IoT devices using smart contracts and IoT providing identity verification. Example applications given are smart electric grids and logistics.

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AI+Blockchain+IoT Convergence AT A Glance
Alex G. Lee1
Integration Synergy Use Case
AI+Blockchain Blockchain for AI: Data marketplace for AI;
Ownership of data for AI; Privacy compliance in
data sharing and use for AI; Distributed
decentralized cost-effective autonomic
computing platform for AI; Explainability for
deep learning (explainable AI (XAI)); Improved
trust on decision made by AI (against adversarial
machine learning); Decentralized collective
decision making
AI for Blockchain: Optimal, autonomous
scalable and robust operation of blockchain
system-Maximizing blockchain system
performance while maintaining security and
stability; Decentralized optimization of
blockchain system; Detecting fraudulent
transactions and malicious behavior; Managing
high volume of transactions; KYC using face
recognition; AI smart contract creation,
verification, and quality assurance analytics
platform; Smart decision making regarding data
storage and management; Streamlining the
whole transaction process (optimizing miner to
reduce load for lower network latency and
energy consumption through efficient node
allocation based on need); Real-time
AI Expert Marketplace: Blockchain provides data sharing
platform for a specific AI task; AI experts provide
solutions for the task; Cyptocurrency rewards for data
sharing and providing AI solution
News Contents Sharing Platform: Blockchain provides
news contents sharing platform; AI verifies credibility of a
specific news content by detecting fake news
Food Supply Chain Management: AI analyzes plants
cultivation or livestock breeding and predicts growing
patterns; Blockchain provides transparency and efficiency
in end-to-end supply chain
Insurance Fraud Filtering & Claim Automation: AI
automatically detects damage to vehicles for an accident
claim and fraudulent claims; Blockchain records all claim
history
International Trade Supply Chain & Finance
Management: AI enables proactive supply chains by
predicting customer behavior and providing fast and cheap
shipping routes; AI can also help for trade negotiations by
predicting different negotiation scenarios and modeling
negotiation outcomes; Blockchain provides transparency
and efficiency in end-to-end supply chain
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Alex G. Lee, Ph.D Esq., is a principal consultant at TechIPm, LLC.

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performance monitoring and diagnostic analysis
of blockchain system
AI +Blockchain Integration: Double shield for
cybersecurity- Decentralized DNS system with
PKI + AI based resilience by creating more
robust ciphers and improves the system defense
process against cyber attacks
Smart Cars: AI analyzes the surrounding environment on
behalf of vehicles and forecast a potential traffic
congestion for avoiding congested routes and providing
better guidance in rerouting; The vehicle environment
information is collected in a decentralized way and stored
in blockchain.
Stable Coin: AI can help reduce the volatility of
cryptocurrencies by predicting the future forecasts using
time series deep learning analysis for fluctuating value of
cryptocurrencies; Smart contracts freezes the price of
cryptocurrency for a fixed time duration
Medical Decision Supporting System: Blockchain
provides decentralized disease diagnose system for
operation of XAI to analyze medical images; Different
radiology labs can produce consensus-based explainable
and trustworthy decisions
Anti-corruption System: AI predicts public corruption
based on economic and political factors to provide
preventive measures for cryptocurrency transactions;
Blockchain provides verifiability and auditability for all
transactions
Counterfeit Detector: Original authentic image and other
unique optical characteristics of a product are recorded on
the blockchain; AI recognizes the image and other optical
characteristics of the product

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Blockchain+IoT Blockchan for IoT: Secure, privacy-preserving,
and trust information exchange/sharing between
IoT devices (autonomous M2M transaction);
Automatic, cost-effective, accelerated
transactions (secure, trustless message
exchanges) between IoT devices using smart
contracts; Decentralized autonomous
functioning of IoT devices; Interoperability
between heterogenious IoT devices and
protocols; Decentralized resilient IoT networks
IoT for Blockchan: IoT can provide verifiable
identity information about the real-world
objects/persons to be used by blockchain for
DID (Decentralized ID) applications
Secure Autonomous Smart Electric Grid System:
Blockchain smart contracts facilitate peer-to-peer energy
exchanges by enabling energy consumers and procures to
sell to each other; Blockchain also provides transaction
data security through decentralized storage and verification
of transactions; IoT enables a real time sensing of energy
usage to save energy.
Smart Home Appliances: Blockchain ensures secure
communication between the home appliances; IoT sensors
inside the home appliances monitor their surroundings for
specific tasks
Smart Logistics: IoT sensors provide details about the
status of shipments to track the movement throughout the
shipment process. Blockchain stores the sensor information
for stakeholders to access the information in real-time
Smart Parking Solution: IoT sensors detect and find the
availability of the parking area; IoT sensors evaluate the
parking charges for the parking duration and automate the
payments using cryptocurrency.

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AI+IoT AI for IoT: Analytics platform for noisy time-
series multisensory measurements; IoT
processes automation; Intelligence and context
awareness at the IoT edge
IoT for AI: A digital twin is a digital
representation that simulates virtually a real-life
object or system; IoT sensors provide input data
sensed regarding the real-world counterpart to
form the digital twin; The simulated data
produced by the digital twin are used to train the
AI model to learn real-world conditions (e.g.,
real-world environment for reinforcement
learning)
Smart Factory: IoT sensors distributed throughout factory
capture data regarding production equipment /machinery,
works in progress, and environmental conditions; AI
analyzes the data to find performance measures and
evaluates wear and tear of equipment /machinery for
optimizing the manufacturing process and informing
predictive maintenance
Smart Home Intelligence System: IoT sensors detect
presence of a home member and identify ID information of
the home member; Real-time locating system is provided
to automatically identify and track location of the home
member in real time within the house; AI provides the set
of preferred control parameters based on the ID
information and the location information, and directs the
appliances to operate with the set of preferred control
parameters for the detected home member
Health Condition Monitoring System: IoT sensors
monitor the level of motion (e.g., via an accelerometer) and
whether the user is asleep (e.g., based on movement input,
skin temperature and heart rate); An emergency
notification can be sent if a potential problem is detected
based on AI analysis of the real-time streams of health data

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AI+Blockchain+IoT AI provides the intelligence and IoT delivers the
data, while blockchain resolves the
trust/security/privacy issues for the distributed
AI+IoT system: AI provides a deeper analysis of
real-time IoT data streams through Fog/edge
computing to drive intelligent decision making;
Blockchain offers a secure privacy-preserving
data exchange between IoT devices;
Decentralized AI market can be formed from the
integration of blockchain, on-device AI and edge
computing and IoT; Predictive analytics for data
transaction can detect any fraud transaction for
providing data security and protection
Smart Precision Farming: IoT sensors monitor and
capture farming data (soil nutrient levels, crop images,
irrigation method etc.) and send information in real time or
periodically in order to optimize production; AI provides
proactive supply of crops using predictive analytics;
Blockchain provides transparent access to all transactions
Autonomous Vehicle:
IoT sensors provide information regarding surrounding
environment; Blockchain store high integrity data; AI
engines at the Fog nodes or connected to the cloud
make decisions to navigate the roads without any problem
Shopping Center Recommender System: IoT sensors
sense information about a user when the user first enter
into the shopping center; The sensed data is stored into
blockchain; AI analyzes user’s purchase history to
recommend appropriate items to the user; Discounts and
payment can be done automatically based on the smart
contracts

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