Hi, everyone. Asma Sayeda. I'm a strategic and um uh passionate about women and tech, building great products and relationships that uh transform customer experiences to make people's lives easier.As a seasoned product manager, I help shape and execute on the vision and strategy using A I to incubate solutions uh which are pioneered to solve complex problems and create experiences that customer loves. I'm going to start sharing my screen so that you guys can know what I'm talking about just a minute here. OK, cool. Uh So yeah, I have over 15 years of experience in strategizing and driving innovative uh digital transformations in the intercultural environments. I'm currently based, I use basically um A I machine learning models uh along with my expertise in product management and critical data analytics and design thinking uh to develop uh project product that transform the customer experience to just make the people's lives easier.

I'm based in Canada and I'm employed as a city of product manager in A B two C setup and also working on conversational A I and chatbots uh to use to see how we can fulfill customer needs in, in the service industry. Good So we'll be gone. So I'm going to give you a brief uh heads up on today. I would be talking about how aware and conscious humans should be when interacting with A I, I'll be throwing some light on um what A I actually means and how important it is for users of A I uh to be conscious of the digital moments and have strategies uh in place when interacting with uh digital humans.

So being cons being uh conscious about our behavior when we interact with people is something which was preached and taught by people to people because it has a direct correlation and influence on the personality, social professional, um lives of peoples are set up. So we are also advised and made aware that we are judged by our friends, families, peers community, uh which will dictate who we are based on our cognitive skills and hence start to train ourselves to keep those skills that would help us maintain our well being, right? So, um but now we are in an era that and we are with talking to machines, digital products, robots have taken over our lives at every spectrum, right? Like so social public professional and even at a psychological level. Uh so, and have been termed as artificial intelligence and have just been patched on to us. So within the realm of our lives A I is hyped and patched on to everything it's taken control uh of us. And provided us with recommendations on who we are, who our friends should be, make decisions for us on our needs. Products that suit us uh food, we should eat health, lifestyle, almost everything. It's replaced our friends and families whom we used to go to when in doubt or when help with decisions.

And it's been widely adopted to a as it has been, it has optimized our lives wherein we are driven away from using our emotional intelligence, our gut sense or even by just by past experiences. So to be able to navigate this A I world, what should be the schema? We need to understand when interacting with machines that self modulates and self regulates its own data, to understand the behavior of others uh to come up with decisions, recommendations or simply do we accept that machines have just become uh smarter than humans and have surpassed human intelligence over time?

So let's find out. So what exactly is artificial intelligence? I have a Venn diagram here. Um Just to kind of like uh help understand uh how do we differentiate between emotional intelligence that is often used by humans and artificial intelligence that is mainly used by um by uh A I products? Right? Like so, so what exactly is artificial intelligence? It's, it's uh heavily relied on data. So it's data driven, it's a set of algorithms and patterns that have been using stats and along with logic to turn human readable text into code and it also interacts with knowledge structures suitable for machine learning. So it's just involved in structuring and qualifying of your data and creating training and testing data sets and it's all regulated by humans. So we as need as users of A I need to understand ourselves a few basic questions, right? Like, so what is the quality of data that, that are using those applications? Uh Are they maintaining transparency, filtering out outliers or just garbage and our garbage out? So that's something which we need to be cognizant of and we are building or using A I applications is enough research being done uh before we start building those models uh that make decisions and recommendations for us, our ethics and standards being followed when using data uh Is there enough government governance and monitoring than when evaluating A I models?

Um Are there any biases in data, gender, race, culture, ethnicity, biological Neurosciences? Like are we teaching A I based uh on Biology of life, life sciences or it just driven by data driven life sciences? So those are the questions we need to ask ourselves when we are actually interacting with artificial intelligence because we don't, we never um question or uh kind of go about using anything apart from our uh emotional intelligence when we are interacting with people, right?

So we use a lot of like self-awareness, self-regulation, motivation, empathy, social skills. I think these are the pretty basic skills that we need when we are kind of like, you know, uh kind of like interacting with people. So what do we need to do different when we are interacting with A I? So that's where I think extended intelligence comes around. So we as humans need to maintain a high quality of control over any artificial intelligence uh to avoid human beings being manipulated. So here is where comes extended intelligence, a necessary multidisciplinary human thinking in order to avoid an uncontrolled extension and self learning A I. So it can be understood uh To me, extended intelligence is kind of like understood as a conjunction of paradigms and conceptual thinking of today uh which is still quite independent in terms of creative decision making. Uh It should be a blend of A I and E I that must intensify, promote and implement multidisciplinary cross uh science thinking and collaboration allow allowing everybody to develop a holistic scientific approach in the implementation and use of A I and its solutions. So moving on.

So doesn't this flight look familiar? We are interacting with A I with almost everywhere. So we spent most of our days interacting with artificial intelligence, which comes in many forms like we are, we are using self driving cars. Uh We are interacting with a chat bot conversational bots.

Uh We are getting recommendations and decisions made by whenever we browse the net uh flight uh health everywhere A I is is actually uh comes in many forms. So not only has artificial intelligence become integrated with businesses, it also streamlines and optimize our life. So from social media, public services, people are interacting with artificial intelligence every day and it might be a surprise as to how broadly it's been adopted, right? Like so they are some of the ways that I just shown like how um we are actually interacting with A I from opening your phone through your biometrics to getting updates on social media on what's happening overnight. Uh Figuring out friends, suggestions, recommendations for best fit products.

Yeah, and what not A I has uh has impacted our lives in surprising ways that we may not even realize. So the big question we need to ask ourselves is can A I be trusted? Has everyone uh has anyone ever wondered why we get to fuse a mortgage or a bank? Just blames in on a frisk algorithm or police starts arresting people on suspicion of planning a crime solely based on a predictive model by data crunching super supercomputer. Uh Facebook finds long last friends and gives us suggesting on groups that we could join. Uh digital tools have optimized our lives to do everything from our comfort of our homes uh to a data driven uh black box which has taken control of our lives. So how does this happen behind the scenes? So, yeah, let's find out. So, data is collected. So according to this diagram, the data is collected from our day to day interactions with A I and a vast array of interrelated terms, how we are, how they are segmented to in these, in these dimensions. Uh We are looked at our, on our personal level, our closed domain then comes the extended domain and the overall domain and trust is placed upon the top as an icing to form the ecosystem to give us an A I ingrained life um which makes uh recommendations.

Uh personalized or Gareth is making decisions for us, serving us at call centers basically doing everything that a human can. So this is the stuff that we know, right. So what's that? We don't know? So the stuff that we don't know, like basically this is how we capture data uh is all the proprietary data it's stored in uh data warehouses uh consumed into A I models. And this is how it ends up into our hands as recommendations, personalization decisions and digital agents.

So what is that that we don't know? The thing that we don't know are is the transparency of technological processes are the people building the product eliminating algorithmic bias in models which causes injustice and discrimination. Do we have control over data, manipulating manipulation, done on models to mimic human psyche? How accurately are we doing it? No human is the same. So how can we mimic human psyche? Uh what has, which, which also has caused watering down of human responsibility and control?

We don't have control on our emotions, on our intelligence. We just pick and choose whatever A I is being given to us. That means we are losing our democracy to technical technology. We feel that technology is always the better solution. So we should remain really cogni conscious of how A I touches so many facets of our lives. Uh and realize we are in the midst of something which can surpass human capabilities. We are as we navigate through this unprecedented area, we need to educate ourselves and be aware of how A I reaches these decisions. Big data companies, uh monopolist and hype are the steady companions in the A I game. And there's no robust ethics and governance uh bodies yet in place to monitor and control the use of these systems to be clear about what kind of A I, uh what kind of A I is used and in what context it can be trusted. When so for example, when we are talking about an autonomous car in a high risk situation or a digital assistant making an appointment at the hairdresser. So which one is more trustable or more inevitable? Are we talking about a bodiless program making market decisions or a robot employed as a team member in war zones? A I should not be just patched on to everything and anything just for the sake of it, it has, we have to understand it has fatal implica implications.

Uh And when we do that, who do we need to hold accountable in such cases? So I just give a pause here and check if you have any questions. OK, and just move on. So what should be kept in mind? So what we should keep in mind when we are designing and building A I products? So an aspect to be kept in mind is ethical considerations, ensuring ethically aligned A I systems require more than designing systems uh whose result can be trusted. It's about the way they are designed and for the purpose, right? Like furthermore, the A I generated is only good as its data because I said it's like a lot data driven depends on what quality and type of data and where the data is coming from, considering monitoring and systematically avoiding biases or being aware of bias and adjusting accordingly.

Um It, it should also have transparency and explainability of data and algorithms uh should be increased. Customers need to know or people using A I need to know the reason behind why and how did A I come to a decision um privacy. Most of the times the individual might like to keep this information for themselves. Uh like anonymous, such as the political views, um ethnic uh identity or any type of orientation they may have. Are we getting so ahead in the game that we have forgotten what individual rights are?

Or do we really need all this information at all? So each time we should question ourselves like a call out for people who are building and developing A I products. Um They should be more importance for accountability, governance with potential regu regulations and consequences when those are not followed and trust. This is another important challenge when it comes to A I and its transparency. Uh with a black box problem in A I. Sometimes people struggle to interpret and trust the solutions provided by A I. So what do we use as users of A I need to have that freedom of choice to trust A I or not, we should be allowed to make that decision uh which would create a strong resistance and skepticism. Uh We need to be res to respect the free will of others. And also there is a need for more research and robust testing. Tech companies building A I need to invest more in research before they start on implementation scaling and then monetizing their of their A I products. So, so yeah. Um any questions? OK.

So I just wanted to conclude with a, with a statement saying that artificial intelligence is here to make our lives easier but not make all the decisions for us. We want to decide which things A I should optimize and which tasks it should perform for us and how far so we should be able to draw the limits. Not more, not less until we have an A I who can think creatively with critical reasoning with empathy um with cognitive abilities. So a call out to all the peoples who uh who nurture A I with great empathy, transparency and institutions take accountability when A I fails, which would increase the trustworthiness in tech and amplify its adoption. Cool, I see there are no questions for me, but thank you so much uh for giving me this opportunity and guys list for listening in uh tuning in to listen to me. Um Thank you so much. Feel free to connect me on linkedin um at Asma Sayeda and I also have my email included. So thank you so much and uh let's chat. Bye.