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EXAMPLES
Virtual
Assistance
Autonomous
vehicles
Chatbots
Recommendation
systems
Navigation apps
Facial recognition
Text editors
AI can be used for various
situations, but these are
some examples of AI in our
daily life.
E-commerce
Harshini and Bhavika
SofiA THE AI ROBOT
Sophia is a realistic humanoid robot capable of
displaying humanlike expressions and interacting with
people. It's designed for research, education, and
entertainment, and helps promote public discussion
about AI ethics and the future of robotics.
Harshini
WHAT PROBLEMS CAN AI SOLVE?
Cybersecurity
Healthcare
Research
Transportation
As shown above, AI can solve a LOT of
problems. Let's explore a few on the next
slide!
Norah
→ self driving cars
→ idea generation,
finding data
→ medical records
→ dectecting spam
uses of Ai
Recommendation
systems
Image and facial
recognition
Customer service
Customer service teams
can get feedback from
customers by using AI.
For example, AI-
powered information
can provide agents with
information on client
intent, language, and
sentiment so they are
aware of how to
approach an encounter.
Medical diagnosis
Provides more exact
diagnoses, detects
hidden patterns in
imaging investigations,
and predicts how
patients will respond to
specific medications.
This leads to better
treatment strategies,
fewer clinical errors,
and more accurate
diagnosis.
(adVANTAGES OF AI)
It can help make data
safer and more secure.
For example, face
authentication can
ensure that only the
appropriate person
has access to sensitive
information that is
intended specifically
for them.
AI content
recommendations
help people stay
engaged and
informed.
For example,
Virtual(Siri and Alexa.),
Personalized content
on streaming
platforms, Apps that
suggest best routes
based on traffic.
Bhavika
what are the
disadvantages of AI?
Lack of Transparency
Bias and Discrimination
Privacy Concerns
Ethical Dilemmas
Security Risks
Concentration of Power
Dependence on AI
Job Displacement
Norah
→ lying about using AI
→ assumtion based of incorrect
information
→
how can we use ai
responsibly?
Put People First
Consider data and privacy
goals
Minimize unintended
bias
Ensure AI transparency
People should use their own creativity, not copy
off of AI! AI is just a tool for efficiency!
Harshini
REsponsible Ai USe
AI can help do repetitive work for humans, but humans should still be prioritized.
Create a culture that utilizes creativity, empathy, and dexterity from humans and AI for
increased efficiency.
There needs to be fairness in AI which entails identifying and eliminating
discrimination while also encouraging diversity and inclusion. This is can be done by
using training models with equal representation.
Develop explainable AI that is visible across processes and functions to generate
trust among employees and customers. Provide examinability, comprehension,
and traceability.
Businesses should adopt strong security measures, limit access to sensitive data, and
anonymize data whenever possible to secure data privacy with AI and ML technologies.
Harshini and Bhavika

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AI.Harshini,Norah,Bhavika-2 (1).pdf presentation

  • 1. EXAMPLES Virtual Assistance Autonomous vehicles Chatbots Recommendation systems Navigation apps Facial recognition Text editors AI can be used for various situations, but these are some examples of AI in our daily life. E-commerce Harshini and Bhavika
  • 2. SofiA THE AI ROBOT Sophia is a realistic humanoid robot capable of displaying humanlike expressions and interacting with people. It's designed for research, education, and entertainment, and helps promote public discussion about AI ethics and the future of robotics. Harshini
  • 3. WHAT PROBLEMS CAN AI SOLVE? Cybersecurity Healthcare Research Transportation As shown above, AI can solve a LOT of problems. Let's explore a few on the next slide! Norah → self driving cars → idea generation, finding data → medical records → dectecting spam
  • 4. uses of Ai Recommendation systems Image and facial recognition Customer service Customer service teams can get feedback from customers by using AI. For example, AI- powered information can provide agents with information on client intent, language, and sentiment so they are aware of how to approach an encounter. Medical diagnosis Provides more exact diagnoses, detects hidden patterns in imaging investigations, and predicts how patients will respond to specific medications. This leads to better treatment strategies, fewer clinical errors, and more accurate diagnosis. (adVANTAGES OF AI) It can help make data safer and more secure. For example, face authentication can ensure that only the appropriate person has access to sensitive information that is intended specifically for them. AI content recommendations help people stay engaged and informed. For example, Virtual(Siri and Alexa.), Personalized content on streaming platforms, Apps that suggest best routes based on traffic. Bhavika
  • 5. what are the disadvantages of AI? Lack of Transparency Bias and Discrimination Privacy Concerns Ethical Dilemmas Security Risks Concentration of Power Dependence on AI Job Displacement Norah → lying about using AI → assumtion based of incorrect information →
  • 6. how can we use ai responsibly? Put People First Consider data and privacy goals Minimize unintended bias Ensure AI transparency People should use their own creativity, not copy off of AI! AI is just a tool for efficiency! Harshini
  • 7. REsponsible Ai USe AI can help do repetitive work for humans, but humans should still be prioritized. Create a culture that utilizes creativity, empathy, and dexterity from humans and AI for increased efficiency. There needs to be fairness in AI which entails identifying and eliminating discrimination while also encouraging diversity and inclusion. This is can be done by using training models with equal representation. Develop explainable AI that is visible across processes and functions to generate trust among employees and customers. Provide examinability, comprehension, and traceability. Businesses should adopt strong security measures, limit access to sensitive data, and anonymize data whenever possible to secure data privacy with AI and ML technologies. Harshini and Bhavika