AI IN IOTChallenges and hurdles

Sujay Umesh

WHAT IS IOT

• The worldwide network of interconnected objects uniquely addressable based on standard communication protocols

• Internet of Things can be realized in three paradigms—internet-oriented (middleware), things oriented (sensors) and semantic-oriented (knowledge).

Sujay Umesh

FUTURE OF IOT

• By 2020, it is estimated that there will be up to 50.1 billion connected devices

• Hackers will continue to use IoT devices to facilitate DDoS attacks

• More cities will become "smart"

• Artificial intelligence will really become a “thing”

• FOG computing.

Sujay Umesh

WHAT IS AI

• an area of computer science that deals with giving machines the ability to seem like they have human intelligence

• Types of AI

1. Machine learning

2. Deep learning

3. Ambient learning

4. Smart objects

Sujay Umesh

AI IN IOT

for any IoT application to be worth buying (or

making), it must demonstrate value in the last step of that chain, the

“Act”.

no matter what the ultimate step of “Act” actually is, its worth is

entirely dependent on the penultimate Analysis

empowers a software “agent” with the ability to

detect patterns in the data presented to it so it can

learn from these patterns in order to adjust the ways in which it then analyzes that

data.

Sujay Umesh

WHY IS AI IMPORTANT TO IOT

• Speed of big data analysis

• Accuracy of big data analysis

• identify and understand patterns and make more informed decisions

• Collecting data is one thing, but sorting, analyzing, and making sense of that data is a completely different thing

Sujay Umesh

CHALLENGES OF AI IN IOT

Compatibility Complexity Privacy/Security SafetyEthical and legal Issues

Artificial Stupidity

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COMPATIBILITY

• require cooperation of many Ais

• prone to frequent failures as one or another component finds conditions it wasn’t trained to handle

• the components will shut themselves down

• they’ll keep running and return increasingly inappropriate results.

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COMPLEXITY

• Inaccurate analysis due to flaws in the data and/or model

• well suited to handle structured data; unfortunately, most IoT/business interactions generate unstructured data

• generally works on batch-oriented processing, wherein all the data are loaded in a batch and then analyzed

Sujay Umesh

PRIVACY/SECURITY

• AI feeds on data and companies that center their business around the technology will grow a penchant for collecting user data, with or without the latter’s consent

• Unless companies developing and using AI technology regulate their information collection and sharing practices and take necessary steps to anonymize and protect user data, they’ll end up causing harm than good to users.

• The use and availability of the technology must also be revised and regulated in a way to prevent or minimize ill use.

• hackers trying to take control of the devices connected to IOT.

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ETHICAL AND LEGAL ISSUES

How do we eliminate AI bias?

How do machines affect our behavior and interaction?

Threat to human dignity

Transparency and open source

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ARTIFICIAL STUPIDITY

• Ability to possess and use common sense

• Development of deep reasoning systems

• Ability to vary an expert system's explanation capability

• Ability to get expert systems to learn

• Ability to have distributed expert systems

• Ability to easily acquire and update knowledge

Sujay Umesh

HOW ARE WE SOLVING IT

• design AI systems so that they are able to track and justify their conduct.

• disclose to customers that the IoT or AI system have be set up to also ensure ethical behaviors

• No software can be 100% secure.

• ability of proving the company’s diligence in having performed whatever was necessary to comply with applicable obligations.

• ability to promptly react to a potential data breach

Sujay Umesh

REFERENCES• https://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence

• https://www.bbvaopenmind.com/en/why-iot-needs-ai/

• https://www.sciencedirect.com/science/article/pii/S0167739X13000241#s000085

• https://www.wired.com/insights/2014/11/iot-wont-work-without-artificial-intelligence/

• https://www.technologyslegaledge.com/2016/11/what-ethics-for-iot-and-artificial-intelligence/

• https://www.theguardian.com/technology/2015/jul/24/artificial-intelligence-internet-of-things

• https://www.iotcentral.io/blog/how-will-artificial-intelligence-kickstart-the-internet-of-things

• https://cloudtweaks.com/2015/01/ces-2015-solving-standardisation-internet-things/

Sujay Umesh