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Transparency & Artificial Intelligence for Ethical Purposes

By Lesley Fredrickson 26 June, 2023 3 mins read

Artificial intelligence systems are created for many purposes. It is essential to be sensitive to human dignity, explanationability, and transparency. We must first define what is a "right" or wrong action in order to train our AI to think ethically. Then we need to devise operationalization strategies that minimize bias and allow AIs to make decisions based solely on facts, rather than irrationality, prejudice, or other prejudice.

Transparency

There are many ways to ensure transparency in ethical AI. Transparency in AI is a desirable feature that allows us to make better decisions. Others advocate a more non-discriminatory approach that aims to minimize adverse selection and moral hazard. Transparency in AI fosters trust, accountability, and supports greater autonomy. This approach is also good for our ethical goals. These are just some of the many advantages of transparency in ethical AI.

First and foremost, transparency means that the system designer must be responsive to stakeholder demands. The system should allow for inspection and respond to legitimate inquiries and individual cases as soon as possible. Transparency is not only a tangible property. It can also be a continuous traceability of past events. This means that when AI systems are created, transparency must be a key feature of the design process. A system should, for instance, provide detailed reports that can be used to aid in investigating incidents.

Explainability

AI can provide immediate ethical benefits due to its technical capabilities and other advantages. As the International Risk Governance Center points out, AI can analyze large amounts of data, link data sources, and generate outcomes that cross domains and geographic boundaries. AI can perform consistent, objective behavior, that is not always predictable, and frees humans from repetitive tasks. AI can help us gain an improved understanding of the world around.

A principle of justice demands equal access for all to medical advancement. This principle is in violation by some medical AI systems. For instance, Obermeyer et al. Obermeyer et al. reported that an AI-based medical system discriminated versus people of color. Explainability can find important characteristics in a model that may indicate bias. Explainability can then alert the appropriate stakeholder groups to possible bias risks or consequences. It can identify potential biases and help prevent such problems from ever happening by alerting relevant stakeholder groups.

Traceability

It is essential to first describe the data that a machine learning model uses in order to trace it. It is possible to do this by creating an ontology that describes the phenomena observed and the context from which they were learned. You must also describe in a traceable fashion the process of training or transforming the data. It is not enough to use an ontology. It also needs a framework that allows data mining and data analysis to be done.

As a result, traceability is essential to ensure that a company's decisions are transparent and can be trusted by stakeholders. Organizations must be able to understand the process of developing an AI system, and can explain the decision rules and methods used. This is what traceability means. It's transparency of the whole process. This is achieved by using a framework known as "governance".

Human dignity

There have been many discussions about ethical AI. Many of these debates focused on AI's potential ability to eliminate jobs and harm the environment. Many of these concerns are outdated and predictable, but others are relevant. Imagine the future impact of digital tech on human labor. It will wipe out the industries of photographic film (and cassette tapes) and vinyl records. Also, think about how driving a car will change the landscape. Of course, we should be mindful of our own dignity.

The European Group on Ethics in Science and New Technologies recommends a global rethinking on values in digital society. The European Group on Ethics in Science and New Technologies recommends that humans' dignity should be a key part of how autonomous systems interact with people. AI must respect and value people and give them the power to control the information and decisions made by the systems. AI must contribute to a better world.

FAQ

How does AI work?

Understanding the basics of computing is essential to understand how AI works.

Computers store information in memory. Computers work with code programs to process the information. The code tells a computer what to do next.

An algorithm refers to a set of instructions that tells a computer how it should perform a certain task. These algorithms are often written in code.

An algorithm is a recipe. A recipe might contain ingredients and steps. Each step might be an instruction. An example: One instruction could say "add water" and another "heat it until boiling."

What uses is AI today?

Artificial intelligence (AI), is a broad term that covers machine learning, natural language processing and expert systems. It's also called smart machines.

Alan Turing, in 1950, wrote the first computer programming programs. He was interested in whether computers could think. In his paper "Computing Machinery and Intelligence," he proposed a test for artificial intelligence. The test asks if a computer program can carry on a conversation with a human.

John McCarthy, in 1956, introduced artificial intelligence. In his article "Artificial Intelligence", he coined the expression "artificial Intelligence".

Many AI-based technologies exist today. Some are easy to use and others more complicated. They include voice recognition software, self-driving vehicles, and even speech recognition software.

There are two main categories of AI: rule-based and statistical. Rule-based uses logic for making decisions. For example, a bank balance would be calculated as follows: If it has $10 or more, withdraw $5. If it has less than $10, deposit $1. Statistics is the use of statistics to make decisions. For example, a weather prediction might use historical data in order to predict what the next step will be.

What are some examples of AI applications?

AI is being used in many different areas, such as finance, healthcare management, manufacturing and transportation. Here are just a few examples:

Finance - AI is already helping banks to detect fraud. AI can scan millions of transactions every day and flag suspicious activity.
Healthcare - AI can be used to spot cancerous cells and diagnose diseases.
Manufacturing - AI is used to increase efficiency in factories and reduce costs.
Transportation - Self driving cars have been successfully tested in California. They are currently being tested all over the world.
Utilities are using AI to monitor power consumption patterns.
Education - AI has been used for educational purposes. Students can use their smartphones to interact with robots.
Government - AI is being used within governments to help track terrorists, criminals, and missing people.
Law Enforcement - AI is being used as part of police investigations. Databases containing thousands hours of CCTV footage are available for detectives to search.
Defense - AI systems can be used offensively as well defensively. Offensively, AI systems can be used to hack into enemy computers. Defensively, AI can be used to protect military bases against cyber attacks.

Who is the inventor of AI?

Alan Turing

Turing was born in 1912. His father was a clergyman, and his mother was a nurse. He was an excellent student at maths, but he fell apart after being rejected from Cambridge University. He began playing chess, and won many tournaments. After World War II, he was employed at Bletchley Park in Britain, where he cracked German codes.

He died in 1954.

John McCarthy

McCarthy was born on January 28, 1928. Before joining MIT, he studied maths at Princeton University. There he developed the LISP programming language. He had laid the foundations to modern AI by 1957.

He died in 2011.

Which countries lead the AI market and why?

China has more than $2B in annual revenue for Artificial Intelligence in 2018, and is leading the market. China's AI industry is led by Baidu, Alibaba Group Holding Ltd., Tencent Holdings Ltd., Huawei Technologies Co. Ltd., and Xiaomi Technology Inc.

China's government is heavily investing in the development of AI. The Chinese government has set up several research centers dedicated to improving AI capabilities. These include the National Laboratory of Pattern Recognition and State Key Lab of Virtual Reality Technology and Systems.

China is also home of some of China's largest companies, such as Baidu (Alibaba, Tencent), and Xiaomi. All of these companies are working hard to create their own AI solutions.

India is another country that has made significant progress in developing AI and related technology. The government of India is currently focusing on the development of an AI ecosystem.

Statistics

By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)

How To

How to set Siri up to talk when charging

Siri can do many things. But she cannot talk back to you. This is because there is no microphone built into your iPhone. Bluetooth or another method is required to make Siri respond to you.

Here's how Siri can speak while charging.

Under "When Using Assistive touch", select "Speak when locked"
To activate Siri press twice the home button.
Siri can speak.
Say, "Hey Siri."
Simply say "OK."
Tell me, "Tell Me Something Interesting!"
Say "I'm bored," "Play some music," "Call my friend," "Remind me about, ""Take a picture," "Set a timer," "Check out," and so on.
Say "Done."
Thank her by saying "Thank you"
If you have an iPhone X/XS or XS, take off the battery cover.
Replace the battery.
Connect the iPhone to your computer.
Connect your iPhone to iTunes
Sync your iPhone.
Allow "Use toggle" to turn the switch on.