Machine learning and AI trends include developments like GPT-3, a large language model that can generate human-like text, edge AI which runs models on devices for faster processing, and explainable AI to build trust. AI is also being applied in healthcare for diagnostics, cybersecurity for threat detection, and robotics for autonomous tasks. Augmented intelligence combines human and AI capabilities to improve productivity, and by 2024 40% of organizations are predicted to use AI-augmented automation. The future impact of AI includes life speeding up as institutions use AI for faster decisions, privacy being tested as AI systems gain more personal data insights than individuals, and human-AI teaming to allay fears by keeping humans involved in AI

2. Machine Learning and AI Trends
Generative Pre-trained Transformer 3 (GPT-3): GPT-3 is a state-of-the-art language model
trained on a massive amount of data, enabling it to generate human-like text with
remarkable accuracy.
Edge AI: Edge AI involves running AI algorithms and models directly on edge devices such as
smartphones, IoT devices, and sensors. It reduces latency and provides faster and more
efficient processing of data.
Explainable AI: Explainable AI (XAI) involves creating transparent AI systems that can provide
clear explanations for their decisions and actions. This is important for building trust and
accountability in AI systems.

3. AI and Cybersecurity: AI detects and prevents cyber-attacks, identifies vulnerabilities,
and enhances security measures.
AI and Healthcare: AI is used in healthcare to develop new drugs, diagnose diseases, and
provide personalized treatment plans.
AI and Robotics: AI is being integrated into robotics to create more intelligent and
autonomous robots that can perform complex tasks.

4. Augmented Intelligence is on the Rise: For those that may still be worried about AI
cannibalizing their jobs, the rise of Augmented Intelligence should be a refreshing trend.
It brings together the best capabilities of both humans and technology, giving
organizations the ability to improve the efficiency and performance of their workforce.
By end of 2024, Gartner predicts that 40% of infrastructure and operations teams in
large enterprises will use AI-augmented automation, resulting in higher productivity.
Naturally, their employees should be skilled in data science and analytics or get the
opportunity to upskill on the latest AI and ML technologies to achieve optimal results.

5. How will AI impact the future?
Speed of life: The most obvious change that many people will feel across society is an
increase in the tempo of engagements with large institutions. Any organization that
engages regularly with large numbers of users -- businesses, government units,
nonprofits -- will be compelled to implement AI in the decision-making processes and in
their public- and consumer-facing activities. AI will allow these organizations to make
most of the decisions much more quickly. As a result, we will all feel life speeding up.

6. End of privacy: Society will also see its ethical commitments tested by powerful AI systems,
especially privacy. AI systems will likely become much more knowledgeable about each of us
than we are about ourselves. Our commitment to protecting privacy has already been
severely tested by emerging technologies over the last 50 years.
As the cost of peering deeply into our personal data drops and more powerful algorithms
capable of assessing massive amounts of data become more widespread, we will probably
find that it was a technological barrier more than an ethical commitment that led society to
enshrine privacy.

7. Human-AI teaming: Much of society will expect businesses and government to use AI as an
augmentation of human intelligence and expertise, or as a partner, to one or more humans working
toward a goal, as opposed to using it to displace human workers.
 One of the effects of artificial intelligence having been born as an idea in century-old science fiction
tales is that the tropes of the genre, chief among them dramatic depictions of artificial intelligence as
an existential threat to humans, are buried deep in our collective psyche.
Human-AI teaming, or keeping humans in any process that is being substantially influenced by artificial
intelligence, will be key to managing the resultant fear of AI that permeates society.