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In the article below, you can check out twelve examples of AI being present in our everyday lives.

Artificial intelligence (opens in new tab) (AI) is growing in popularity, and it's not hard to see why. AI has the potential to be applied in many different ways, from cooking to healthcare.

Though artificial intelligence may be a buzzword today, tomorrow, it might just become a standard part of our everyday lives. In fact - it's already here.

They work and continue to advance by using lots of sensor data, learning how to handle traffic and making real-time decisions.

Also known as autonomous vehicles, these cars use AI tech and machine learning to move around without the passenger having to take control at any time.

Let's begin with something really ubiquitous - smart digital assistants. Here we are talking about Siri, Google Assistant, Alexa and Cortana.

We included them in our list because they can essentially listen and then respond to your commands, turning them into actions.

So, you hit up Siri, you give her a command, like "call a friend," she analyzes what you said, sifts through all the background noise surrounding your speech, interprets your command, and actually does it, all in a couple of seconds.

The best part here is that these assistants are getting smarter and smarter, improving every stage of the command process we mentioned above. You don't have to be as specific with your commands as you were just a couple of years ago.

Furthermore, virtual assistants have become better and better at figuring out filtering useless background noise from your actual commands.

One of the most well-known AI initiatives is a project run by Microsoft. It comes as no surprise that Microsoft is one of the top AI companies (opens in new tab) around (though it's definitely not the only one).

The Microsoft Project InnerEye (opens in new tab) is state-of-the-art research that can potentially change the world.

This project aims to study the brain, specifically the brain's neurological system, to better understand how it functions. The aim of this project is to eventually be able to use artificial intelligence to diagnose and treat various neurological diseases.

The college students' (or is it professor's?) nightmare. Whether you are a content manager or a teacher grading essays, you have the same problem - the internet makes plagiarism easier.

There is a nigh unlimited amount of information and data out there, and less-than-scrupulous students and employees will readily take advantage of that.

Indeed, no human could compare and contrast somebody's essay with all the data out there. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Furthermore, thanks to advancement and growth in this area, some tools can actually check sources in foreign languages, as well as images and audio.

You might have noticed that media recommendations on certain platforms are getting better and better, Netflix, YouTube, and Spotify being just three examples. You can thank AIs and machine learning for that.

The three platforms we mentioned take into account what you have already seen and liked. That's the easy part. Then, they compare and contrast it with thousands, if not tens of thousands, of pieces of media. They essentially learn from the data you provide, and then use their own database to provide you with content that best suits your needs.

Let's simplify this process for YouTube, just as an example.

The platform uses data such as tags, demographic data like your age or gender, as well as the same data of people consuming other pieces of media. Then, it mixes and matches, giving you your suggestions.

Today, many larger banks give you the option of depositing checks through your smartphone. Instead of actually walking to a bank, you can do it with just a couple of taps.

Besides the obvious safeguards when it comes to accessing your bank account through your phone, a check also requires your signature.

Now banks use AIs and machine learning software to read your handwriting, compare it with the signature you gave to the bank before, and safely use it to approve a check.

In general, machine learning and AI tech speeds up most operations done by software in a bank. This all leads to the more efficient execution of tasks, decreasing wait times and cost.

And while we are on the subject of banking, let's talk about fraud for a little bit. A bank processes a huge amount of transactions every day. Tracking all of that, analyzing, it's impossible for a regular human being.

Furthermore, how fraudulent transactions look changes from day to day. With AI and machine learning algorithms, you can have thousands of transactions analyzed in a second. Furthermore, you can also have them learn, figure out what problematic transactions can look like, and prepare themselves for future issues.

Next, whenever you apply for a loan or maybe get a credit card, a bank needs to check your application.

Taking into account multiple factors, like your credit score, your financial history, all of that can now be handled by software. This leads to shorter approval wait times and a lower margin for error.

Many businesses are using AI, specifically chatbots, as a way for their customers to interact with them.

Chatbots are often used as a customer service option for companies that do not have enough staff available at any given time to answer questions or respond to inquiries.

By using chatbots, these companies can free up staff time for other tasks while still getting important information from their customers.

These are a godsend during heavy traffic times, like Black Friday or Cyber Monday. They can save your company from getting overwhelmed with questions, allowing you to serve your customers much better.

Now, this is something we can all be thankful for - spam filters.

A typical spam filter has a number of rules and algorithms that minimize the amount of spam that can reach you. This not only saves you from annoying ads and Nigerian princes, but it also helps against credit card fraud, identity theft, and malware.

Now, what makes a good spam filter effective is the AI running it. The AI behind the filter uses email metadata; it keeps an eye on specific words or phrases, it focuses on some signals, all for the purpose of filtering out spam.

This everyday AI aspect got really popular through Netflix.

Namely - you might have noticed that a lot of thumbnails on websites and certain streaming apps have been replaced by short videos. One of the main reasons this got so popular is AI and machine learning.

Instead of having editors spend hundreds of hours on shortening, filtering, and cutting up longer videos into three-second videos, the AI does it for you. It analyzes hundreds of hours of content and then successfully summarizes it into a short bit of media.

AI also has potential in more unexpected areas, such as cooking.

A company called Rasa has developed an AI system that analyzes food and then recommends recipes based on what you have in your fridge and pantry. This type of AI is a great way for people who enjoy cooking but don't want to spend too much time planning out meals ahead of time.

If there is one thing we can say about AI and machine learning (opens in new tab), it is that they make every tech they come in contact with more effective and powerful. Facial recognition is no different.

There are now many apps that use AI for their facial recognition needs. For example, Snapchat uses AI tech to apply face filters by actually recognizing the visual information presented as a human face.

Facebook can now identify faces in specific photos and invite people to tag themselves or their friends.

And, of course, think about unlocking your phone with your face. Well, it needs AI and machine learning to function.

Let's take Apple Face ID as an example. When you are setting it up, it scans your face and puts roughly thirty thousand dos on it. It uses these dots as markers to help it recognize your face from many different angles.

This allows you to unlock your phone with your face in many different situations and lighting environments while at the same time preventing somebody else from doing the same.

The future is now. AI technology will only continue to develop, to grow and to become more and more vital for every industry and almost every aspect of our everyday lives. If the above examples are to be believed, it's only a matter of time.

Artificial intelligence (opens in new tab) will continue developing and being present in new areas of our lives in the future. As more innovative applications come out, we'll see more ways that AI can make our lives easier and more productive!

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12 examples of artificial intelligence in everyday life - ITProPortal

Researchers generate molecular structures using machine learning algorithms, trained on smaller datasets

Researchers generate molecular structures using machine learning algorithms, trained on smaller datasets

We think of molecules as occurring in nature. Large macromolecules lead us to the basis of life. The twentieth century gave us new materials synthesised in the lab. We can now have designer molecules, where we formulate a wish list of properties for material (say, desired tensile strength as well as flexibility) and seek to not merely discover, but also construct, molecules that exhibit such properties. Generating molecules computationally involves the use of Artificial Intelligence (AI) and machine learning algorithms that require large datasets to train on. Moreover, the molecules thus designed may be hard to synthesise. So, the challenge is to circumvent these shortfalls.

Now, researchers from Massachusetts Institute of Technology (MIT) and International Business Machines (IBM) have together devised a method to generate molecules computationally which combines the power of machine learning with what are called graph grammars. This approach requires much smaller datasets (for example, about 100 datasets in the place of 81,000, as the researchers mention) and builds up the molecules in a bottom-up approach. The group has demonstrated this method on naphthalene diisocyanate molecule in a paper that has been reviewed and accepted for presentation at the International Conference on Learning Representations (ICLR 2022).

Artificial intelligence (AI) techniques, especially the use of machine learning algorithms, are in vogue today to find new molecular structures. These methods require tens of thousands of samples to train the neural networks. Also, the designed molecules may not be physically synthesisable. Ensuring synthesisability in these methods may need the incorporation of chemical knowledge, and extracting such knowledge from datasets is a significant challenge.

Chemical datasets with required properties may be very small in number. For instance, some researchers reported in 2019 that datasets on polyurethane property prediction have as few as 20 samples.

If we surmount all these challenges, there is a further problem with typical machine learning algorithms, which is that we cannot explain their results. That is, after discovering a molecule, we cannot figure out how we came up with it. The implication is that if we slightly change the desired properties, we may need to search all over again. Explainable AI is considered one of the grand challenges of contemporary AI research.

One alternative to such deep learning methods is the use of formal grammars. Grammar, in the context of languages, provides rules for how sentences can be constructed from words. We can design chemical grammars that specify rules for constructing molecules from atoms. In the last few years, several research teams have built such grammars. While this approach is hopeful, it calls for extensive expertise in chemistry, and after the grammar is built, incorporating properties from datasets, or optimisation, is hard.

Here, the researchers use mathematical objects called graph grammars for this purpose.

What mathematicians call graphs are networks or webs with nodes and edges between them. In this approach, a molecule is represented as a graph where the nodes are strings of atoms and edges are chemical bonds. A grammar for such structures tells us how to replace a string in a node with a whole molecular structure. Thus, parsing a structure means contracting some substructure; we keep doing this repeatedly until we get a single node.

The model uses machine learning techniques to learn graph grammars from datasets. The algorithm takes as input a set of molecular structures and a set of evaluation metrics (for example, synthesisability).

The grammar is constructed bottom-up, creating rules by contractions; choosing which structures to contract is based on the learning component, a neural network which builds on the chemical information. The algorithm simultaneously performs multiple, randomised searches to obtain multiple grammars as candidates. It still needs to evaluate them, and this is done using the input metrics.

While the method has been demonstrated for use in building molecules, the applications could be far reaching, beyond chemistry.

(The writer is a computer scientist, formerly with The Institute of Mathematical Sciences, Chennai, and currently visiting professor at Azim Premji University, Bengaluru.)

AI techniques used earlier required tens of thousands of samples to train the neural networks. Also, the designed molecules were not always physically synthesisable.

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Learning grammars of molecules to build them in the lab - The Hindu

How Could AI be used in the Online Casino Industry

Online casinos have seen a rapid boom over the last couple of years. There are plenty of reasons why, starting with the internet.

The average player can start a game within minutes, no matter where they are.

They dont have to visit a casino hall, nor do they have to deal with spotty internet.

The online casino experience has also drastically improved. Operators did this by adding the latest features and technologies as soon as possible.

In the beginning, games began as software that you could download onto your computers. Now, they are online websites connected to a server, offering a more streamlined and smoother experience.

From slots to table games and game shows, players have a wider variety to choose from too. And all these online casino games are very easy to find across a wide range of casino operators listed on Gambling.com.

Players can also choose from different ways to play. Will it be against bots or against real players?

As casinos continue to innovate, AI has been an aspect many have been slowly exploring. It is certainly an exciting prospect, and it brings plenty of ways to improve the current gaming experience.

Casino operators stand to benefit from it but users too will see plenty of benefits. This applies to both traditional gamers and modern gamers.

Keep reading on how AI will help.

With automated AI for customer service, casino operators and users both enjoy a vastly improved service.

For instance, casino operators will see lower overhead costs.

Meanwhile, users enjoy instant, around the clock service. AI can also analyze billing history and other preferences to deliver more targeted responses.

AI in customer support has come far and today offers an increasingly human-like response. Of course, humans will still be available in the background to handle more complex issues.

Gambling addiction is a serious issue and its dangers have been well documented in the last few decades.

Signs of addiction include borrowing money to gamble and not knowing when to draw the line. Chasing losses and lying are a few other red flags.

But AI has the ability to create more responsible gaming experiences.

How you ask?

Well, it can analyze the activities of a player to identify irresponsible patterns. With this input, casinos can create a safety net that keeps their players safe and protected.

The deeper analytical skills of AI can help detect cheaters very early on. This can ensure a level gaming field and safer gambling for everyone involved.

AI can flag suspicious behaviour and interpret any patterns. This will help operators catch cheaters faster before they can harm other players.

This is especially useful when it comes to online casinos. At a casino hall, there are cameras and bouncers to monitor games whereas online casinos dont have as many eyes.

These are but a few of the benefits everyone stands to gain with AI. Its implementation is still in the early stages but there are positive signs.

For example, AI use in video games has been rapidly increasing and casinos are known to heavily borrow from games. So we can expect that to happen with AI too.

Now AI usage has been around in video games for a while but not the self-learning kind of AI. This is the AI that is found in language processing, computer vision and self-driving cars.

Interestingly, self-learning AI was developed by software that improved upon itself through playing video games. Some examples include OpenAIs Dota 2 bot and DeepMinds AlphaGo program.

It was only in the last decade or so that game developers got access to these advanced tools. Through this, they were able to create more intelligent and immersive games that use sophisticated AI.

Games that are able to read the player and respond to their moves. Game NPCs that were able to change and evolve through the players playthrough.

With this, in the future, we can expect improvements like customized experiences in casino games. Through AI, casino operators can shape and adapt in-game experiences depending on how the player responds.

This goes beyond just the in-game experience. AI can detect the preferred game mode and customize the homepage with curated selections that a player will like.

It can track trends, figure out patterns and predict future actions with accuracy. Casino operators can use this data to fine-tune their games and deliver better experiences.

Moreover, AI can help casinos analyze the data collected to deliver more personalized ads. Special offers and experiences can be promoted to specific players.

These are processes that would take way too long with humans. But with AI, these could be analyzed within minutes.

What began with 16-bit graphics is now a real-time, realistic gaming experience. People can play with a human dealer and human players with hardly any hassle.

Aside from a realistic experience, the integration of AI will vastly help in online casino development. Whether it is tweaking the UI or the website, casino operators can use AI to discover the optimal settings.

And as a player, responsible gaming and a fair experience will be possible in all games. From online roulette to online blackjack, AI promises to revolutionize how you game.

How Could AI be used in the Online Casino Industry

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How Could AI be used in the Online Casino Industry - Rebellion Research

Last Friday, Amazon workers at the JFK8 warehouse in Staten Island shocked the world by pulling off one of the great labor victories in US history, becoming the first Amazon workforce in the country to vote to unionize. A thousand miles away, in the rural setting of Brookwood, Alabama, 1,100 coal miners on strike at Warrior Met Coal have just passed the one-year anniversary of the day they hit the picket line. Around the country, workers are rising up, demanding more, and winning important victories, even though the deck is stacked against them. The question is: Where will the reinforcements come from? How can the fight that workers are waging on the shop floor be supported and empowered by a broad progressive movement that is united around the cause of economic, political, and social justice?

In a recent piece published on CommonDreams, Professor Harvey J. Kaye, an expert on the New Deal and FDR, and Alan Minsky, the executive director of Progressive Democrats of America, call for progressives to rally behind the proposal for a 21st Century Economic Bill of Rights. In this interview, TRNN Editor-in-Chief Maximillian Alvarez speaks with Professor Kaye and labor leader Sara Nelson about the state of the labor movement today and what it would mean if progressive forces within and beyond the labor movement united around a shared vision for a platform of economic policies designed to enable Americans, all Americans, to secure the nations promise of life, liberty, and the pursuit of happiness.

Sara Nelson is the International President of the Association of Flight Attendants-CWA, AFL-CIO, representing around 50,000 flight attendants at 17 airlines. Harvey J. Kaye is Professor Emeritus of Democracy and Justice Studies at the University of Wisconsin-Green Bay and the author of many books, including: The Fight for the Four Freedoms: What Made FDR and the Greatest Generation Truly Great; FDR on Democracy; and Take Hold of Our History: Make America Radical Again.

Pre-Production/Studio/Post-Production: Cameron Granadino

The transcript of this interview will be made available as soon as possible.

Editor-in-Chief

Ten years ago, I was working 12-hour days as a warehouse temp in Southern California while my family, like millions of others, struggled to stay afloat in the wake of the Great Recession. Eventually, we lost everything, including the house I grew up in. It was in the years that followed, when hope seemed irrevocably lost and help from above seemed impossibly absent, that I realized the life-saving importance of everyday workers coming together, sharing our stories, showing our scars, and reminding one another that we are not alone. Since then, from starting the podcast Working Peoplewhere I interview workers about their lives, jobs, dreams, and strugglesto working as Associate Editor at the Chronicle Review and now as Editor-in-Chief at The Real News Network, I have dedicated my life to lifting up the voices and honoring the humanity of our fellow workers.Email: max@therealnews.comFollow: @maximillian_alv

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From Amazon to Starbucks, workers are rising upand progressives need to support them at all costs - The Real News Network

In politics, framing is the attempt to alter reality by selecting words, slogans and tropes that convince the public to see the other side in a certain negative way. As Robert Entman explains, Toframeis toselect some aspects of a perceived reality and make them more salient in a communicating text, in such a way as to promote a particular problem definition, causal interpretation, moral evaluation, and/or treatment recommendationfor the item described.

Framing is choosing the language, the words, the tropes that will produce the most lasting image in the minds of voters.

Everybody frames everybody with whom they disagree. Evangelicals frame progressives as demons; progressives frame evangelicals as dummies.

Google Democrats as devils, and the web blows up. Headlines scream: Its Almost Official: The Democrats Are the Party of the Devil; The Democratic Party is Satanic, Literally!; Devilfor theDemocrats?; Its all in the details;Its official: theDemocratsare the party of theDevil; The Democrats Are Evil; Democrats Have Become the Partyof Satan. A cursory search produced more than 50 articles insisting that Democrats are devils.

The arguments of the Democrats are devils trope are working. Here are representative samples of the bombarding of the public with the major trope:

Evangelicals, on the other hand, have been framed by liberals as dupes, dummies, backward hillbillies, rednecks, racists and ignorant. The primary pathos of liberal persuasion is shaming. Civil virtue has shamed evangelicals for not supporting gay marriage or feminism.

Shame is a primary liberal pedagogy. Since framing is an attempt at persuasion, it always intensifies what is perceived as the weakness of evangelicals and exaggerates those perceived weaknesses to the maximum.

Shame is a primary liberal pedagogy.

American historian David Blight says, Liberals sometimes invite scorn with their devotion to diversity training and insistence on fighting over words rather than genuine inequality.

Evangelicals, in other words, have reasons for deeming progressives as elitist and hypocritical. In the court of public opinion, perhaps it is hard to discern if liberal framing of evangelicals has stuck.

George Lakoff, in The Political Mind, says progressives have been framed by conservative rhetoric that is deeply emotional and has powerful appeal for voters. Polls show that Americans support Roe v. Wade by large margins. But in conservative framing, abortion is still the go-to issue to show that Democrats and progressive Christians are undermining morality.

Likewise, 70% of Americans support same-sex marriage and 67% of Americans believe in evolution. Even 68% of Republicans support alternative energy development. Yet Republicans continue to win elections by opposing the issues that the majority of the nation supports. The frame job has worked.

Whereas once American Christians lived in the Methodist frame, the Baptist frame, the Episcopal frame, the Catholic frame, the Lutheran frame, or the Presbyterian frame, now conservatives have framed progressives as non-Christians. This has nothing to do with the affirmation of all these mainline Christians of the Apostles Creed. They are framed as non-Christian because of their positions on abortion, marriage and gender.

Now conservatives have framed progressives as non-Christians.

The valedictorian of the progressive Christians are devils class is Robert Jeffress of First Baptist Church in Dallas. Jeffress has framed all Democrats with the charge of paganism: Well, apparently the god they worship is the pagan god of the Old Testament Moloch, who allowed for child sacrifice. The god of the Bible doesnt sanction the killing of millions and millions of children in the womb, I think the god they are worshiping is the god of their own imagination.

Jeffress has called Democrats a godless party and said the God (Democrats) talk about is not the God of the Bible. It is the God of their imagination a God who loves abortion and hates Israel, whereas the true God that most Jews and Christians are familiar with is a God who hates abortion and loves Israel.

No one likes to be shamed, but shame is the primary product of the liberal frame job. Eve Sedgwick asks: Can anyone suppose that well ever figure out what happened around political correctness if we dont see it as, among other things, a highly politicized chain reaction of shame dynamics?

Political correctness becomes a pedagogy, a sweeping masterwork of shame designed to rip residual structures of degradation from speech.

Evangelicals often are confused when people lose jobs because of the use of politically incorrect language. They think they are making jokes, but when shamed by the new civil virtues of acceptance and diversity, they fight back. People get shamed, or lose their jobs, for example, when they believe theyre just having a little fun making fun.

The evangelical angst revolves into a mantra: I feel unfree. It would be cavalier to deny these are legitimate feelings. Evangelicals feel they are being denied freedom of speech.

In the court of public opinion, the evangelical trope seems to stick to progressives; the progressive trope doesnt stick to evangelicals as well.

Democrats and progressives have been framed, and the jury has returned the verdict and found them guilty as charged not on the evidence but on the emotional appeals of the conservative testimonials.

Democrats and progressives have been framed, and the jury has returned the verdict and found them guilty as charged not on the evidence but on the emotional appeals of the conservative testimonials.

In Will Campbells novella, Cecelias Sin, a group of Anabaptists face execution for their faith. The night before their anticipated arrest, they discuss that the authorities claimed they were communists. Goris tries to help Peter understand that it doesnt matter that the charge of communism is false. But they believe we are communist, Goris said. And that is enough. If they think we are seditious, we are seditious. That is what sedition is. It is what they say it is.

No progress can be made in understanding the conservative appeal until we grasp that its about emotional arguments. Facts, truth, reality, policies evaporate like morning dew; emotions of rage, outrage and moral indignation stick like Velcro. The right-wing mantra possesses contagious feelings.

People catch feelings as easily as the common cold. Affect leaps from one body to another, evoking tenderness, inciting shame, igniting rage, exciting fear. Feelings not only spread, they stick, according to Sara Ahmed in The Cultural Politics of Emotion.

When these ancient feelings were attacked by a new civic virtue that promoted diversity, acceptance and a new ethical consciousness, conservative thoughts were dislodged and became unstuck. What has followed has been a furious denial of culpability.

The old evangelical paradigm, like a giant white egg, developed cracks and fractures, and panic ensued. The new pedagogy of antiracism, gender emancipation, queer emancipation, new horizons of political enfranchisement turned evangelicals into rebellious students unwilling to be taught by others. Confronted by new ethical paradigms designed to make persons more hospitable, more open, more sensitive, more thoughtful, more moral, evangelicals reverted to the old paradigms and attempted to patch the fractures and cracks.

Perhaps this explains the desperate attempts to revise American history and oppose science in the classroom. The epistemic foundations of evangelical faith are coming loose. Instead of claiming that evangelicals are resentful, Lawrence Grossberg says we should examine the terror of the humiliation of being a victim. One avoids the humiliation of loss and victimage by humiliating the other, by diminishing their status and capacity, destroying their sense of pride, reducing them to a lower state of being. Therefore, evangelicals have intensified attacks on gays, women, transgender persons, immigrants, scientists, historians, liberals. They have framed everyone as devils and demons.

The evangelical feeling machine delivers a constant flow of emotional frames.

The evangelical feeling machine delivers a constant flow of emotional frames. Like a chocolate fountain at a wedding reception, evangelical emotions pour forth to the public feelings, feelings and more feelings. What underscores evangelical argument is emotion.

Progressives, on the other hand, mistrust emotion and at times make fun of emotional arguments as if Aristotle didnt insist on its persuasive power. Progressives can come across as austere, thick-minded, stubborn and insistent on not exhibiting feelings. In place of emotional frames, progressives tend to use intellectual, scholarly, elitist frames.

Progressives are seen as the ones taking away the nation, taking away morals, history and the future. Conservatives insist they are the ones aligned with freedom and rights. They claim they are protecting the nation. Evangelicals feel justified in these claims when they think progressives are no longer taking the Bible seriously. Progressives would be better served by attempting to understand the evangelical frames.

What can progressives do? Perhaps the first move would be to stop playing the frame game. Instead of depicting evangelicals as enemies, return to seeking any possible common ground. Failing to find such an ideal place to stand, at least surrender the language of framing that labels evangelicals as dummies and rednecks.

Admit that conservatives have successfully won the framing war and progressives have failed. Then, develop and articulate a moral vision for the future of democracy. Instead of embracing conservative frames, progressives must construct their own frames. Stop pretending that conservative, evangelical morality is anything other than self-righteous moralism. Insist that the civic morality of acceptance comes far closer to the practice of Jesus than that of evangelicals. Defend democracys anchor institutions. And maintain professional ethics while refusing to buy the lie of the devil that Gods work can be accomplished with the devils means.

Admit that conservatives have successfully won the framing war and progressives have failed.

Progressives should stop trying to use conservative frames and instead use their own language: empathy, compassion, truth, hope, justice, grace, mercy, righteousness. Stop being afraid of emotional arguments. Frame arguments with legitimate emotional appeals. Always speak from moral vision. Progressive policies follow from the morality of empathy and hospitality.

Instead of dismissing evangelical arguments, do a deep dive into the abyss and learn to understand the power of the frame job that has turned progressives into devils. Be able to explain why conservatives believe what they believe without making fun of what they believe.

The great challenge for progressives is to keep the arguments from spiraling out of control into hateful, resentful emptiness. Kenneth Burke argues: The process of human enlightenment can go no further than in picturing people not as vicious, but as mistaken.

If evangelicals would speak of progressives as misguided instead of as devils, perhaps a small crack would occur in the door to make possible renewed conversations with one another.

It is time to break out of the cycle of framing, blaming and judging.

Rodney W. Kennedycurrently serves as interim pastor of Emmanuel Freiden Federated Church in Schenectady, N.Y., and as preaching instructor Palmer Theological Seminary. He is the author of nine books, including the newly releasedThe Immaculate Mistake,about how evangelical Christians gave birth to Donald Trump.

Related articles:

Progressives have a problem telling their story | Analysis by Rodney Kennedy

The Trump Card: How white evangelicals are being played| by Joel Bowman Sr.

Understanding the evangelical civil war| Analysis by Alan Bean

Excerpt from:
The futility of framing one another as progressives and evangelicals, devils and dummies - Baptist News Global